Comparing the performance of practical two-qubit gates for individual 171Yb ions in yttrium orthovanadate
Abstract
In this paper, we investigate three schemes for implementing Controlled-NOT (CNOT) gates between individual ytterbium (Yb) rare-earth ions doped into yttrium orthovanadate (YVO4 or YVO). Specifically, we investigate the CNOT gates based on magnetic dipolar interactions between Yb ions, photon scattering off a cavity, and a photon interference-based protocol, with and without an optical cavity. We introduce a theoretical framework for precise computations of gate infidelity, accounting for noise effects. We then compute the gate fidelity of each scheme to evaluate the feasibility of their experimental implementation. Based on these results, we compare the performance of the gate schemes and discuss their respective advantages and disadvantages. We conclude that the probabilistic photon interference-based scheme offers the best fidelity scaling with cooperativity and is superior with the current technology of Yb values, while photon scattering is nearly deterministic but slower with less favourable fidelity scaling as a function of cooperativity. The cavityless magnetic dipolar scheme provides a fast, deterministic gate with high fidelity if close ion localization can be realized.
I Introduction
Two-qubit gates are fundamental for enabling entanglement swapping in quantum repeaters Jennewein et al. (2001); Sangouard et al. (2011) and are crucial for generating and mapping entangled states in distributed quantum computing Deutsch (1989). From a computational standpoint, these gates are essential for universal quantum computation, as they enable the efficient decomposition of arbitrary quantum gates into circuits composed of Controlled-NOT (CNOT) and single-qubit gates Nielsen and Chuang (2001); Kitaev et al. (2002).
For the practical implementation of quantum computing, various experimental platforms have been explored, including solid-state systems such as superconducting qubits Devoret and Schoelkopf (2013), quantum dots Loss and DiVincenzo (1998), and impurity-doped solids like rare-earth ions (REIs) embedded in crystals Kinos et al. (2021a) and nitrogen-vacancy (NV) centers in diamonds Wrachtrup and Jelezko (2006). Among these solid-state systems, REIs doped into crystals are known because of their remarkable coherence properties Longdell et al. (2005); Zhong et al. (2015a). The relatively low radiative decay rate of REIs Dibos et al. (2018) can be significantly improved by coupling them to a nanophotonic optical cavity, which enhances their emission through Purcell enhancement Zhong et al. (2015b); Ourari et al. (2023). Additionally, incorporating a cavity boosts photon collection efficiency and improves single-photon indistinguishability.
Within rare-earth ions (REIs), Kramers ions, which have an unpaired electron in their shell such as erbium (Er3+), neodymium (Nd3+), and ytterbium (Yb3+) exhibit substantial magnetic moments on the order of the Bohr magneton . As a result, these ions can interact with nearby ions through magnetic dipole-dipole interactions. Among Keramers REIs, Yb3+ is known for its simple level structure, comprising of two electronic multiplets for the ground (2F7/2) and excited (2F5/2) states. Notably, 171Yb3+ isotope of Yb3+ is the only rare-earth ion with lowest nuclear spin of . Hence, it benefits from long coherence times of nuclear levels Nicolas et al. (2023), while maintaining the simplest possible hyperfine energy level structure with only a few narrow transitions in the optical absorption spectra Tiranov et al. (2018); Kindem et al. (2018). This simplicity facilitates more efficient manipulation of spin qubits and gate operations. Consequently, Yb is an attractive candidate for practical applications in rare-earth quantum information processing Welinski et al. (2016); Ortu et al. (2018); Welinski et al. (2020); Businger et al. (2020, 2022); Chiossi et al. (2024); Ranon (1968); Kränkel et al. (2004); Bartholomew et al. (2020); Ruskuc et al. (2022); Xie et al. (2024).
Thus far, the design of quantum gates with large ensembles of REIs has been studied Fraval et al. (2005); Rippe et al. (2008); Longdell et al. (2004). However, scalability issues with these designs Wesenberg et al. (2007) have prompted a shift toward using individual ions Walther et al. (2009, 2015); Kinos et al. (2021b, 2022). In that regard, significant advancements have been made in addressing individual rare-earth ions, particularly with praseodymium Kolesov et al. (2012), erbium Yin et al. (2013); Yang et al. (2023), ytterbium Kindem et al. (2020), and neodymium ions coupled to a photonic crystal resonator Zhong et al. (2018). Despite these advances, there has yet to be an experimental implementation of two-qubit gates with single REIs.
Among host crystals, Yb ions doped into yttrium orthosilicate (Y2SiO5 or YSO) and yttrium orthovanadate (YVO4 or YVO) have been extensively studied Welinski et al. (2016); Tiranov et al. (2018); Kindem et al. (2018). YSO is widely used in quantum experiments, primarily due to the small magnetic moments of its constituents Equall et al. (1994). Conversely, YVO is of interest due to its high site symmetry, leading to narrow inhomogeneous linewidths when doped with 171Yb3+ Kindem et al. (2018). YVO is also promising for fabricating nanophotonic cavities Zhong et al. (2016), and particularly for Yb: YVO Kindem et al. (2020); Wu et al. (2023), making it a compelling choice for this study.
To implement two-qubit gates between individual rare-earth ions, various interaction mechanisms have been proposed. These include electric Ohlsson et al. (2002); Asadi et al. (2018), magnetic dipolar Grimm et al. (2021); Kinos et al. (2021a), and cavity-mediated Asadi et al. (2020a) interactions. In Grimm et al. (2021), the authors compared CNOT gates based on magnetic and electric dipolar interactions for 167Er3+: YSO. They showed that, when utilizing the full interaction strength, the magnetic dipolar gate is faster and less constrained by the distance between ions compared to the electric dipolar blockade gate scheme. In contrast to dipolar gates, cavity-mediated interaction gates do not require qubits to be in close proximity. Instead, these gates rely on the presence of a cavity, which may also be necessary for other purposes, such as improving interfaces between stationary qubits (like quantum emitters) and flying qubits (like photons). Therefore, it is important to explore and compare the advantages of cavity-based and cavityless two-qubit gates between individual Yb ions, evaluating their implementation feasibility more thoroughly.
In this paper, we discuss two-qubit gates between individual 171Yb3+ ions, focusing on those based on magnetic dipolar interactions, cavity-mediated interactions such as photon scattering, as well as a photon interference-based scheme, both with and without an optical cavity. A key figure of merit for assessing the performance of a gate scheme is the fidelity . Notably, provides an estimate of the number of gate operations that can be performed without the need for quantum error correction Childs (2017); Grimm et al. (2021). Consequently, high-fidelity gates are essential for fault-tolerant quantum computing and first-generation quantum repeaters. To understand the sensitivity of each gate scheme to error parameters, we develop a theoretical framework to compute fidelity. We model the evolution of our system using the Gorini–Kossakowski–Sudarshan–Lindblad (GKSL) equations Lindblad (1976). By computing perturbed solutions to the corresponding GKSL equations, we derive closed-form expressions for calculating infidelities. Our perturbative approach captures noise-induced errors through a formulation that relies merely on the noise parameters and the solution of the noiseless system, thus avoiding the need to solve the GKLS master equation directly. Therefore, our results offer a more feasible computational method compared to existing literature Wein et al. (2020); Asadi et al. (2020a). Using the above-mentioned perturbative approach we report the fidelity of the magnetic dipolar gate presented in this work. We then compare the performance of each scheme using the current experimental technology and discuss their respective advantages and disadvantages.
The paper is structured as follows: In Section II, we introduce the Yb ion system. Section III investigates the two-qubit gate schemes. The details of the perturbative approach for computing gate fidelities are presented in Section IV. In Section V, we analyze the fidelity calculations for the gate schemes. We also discuss the practical implementation of key parameters influencing the fidelities, along with the current achievable fidelity for Yb ions. In Section VI, we compare the different gate schemes and provide the pros and cons of each. Finally, we conclude and present an outlook in Section VII.
II Yb rare-earth ion properties
171Yb3+:YVO has four Kramers doublets in the ground state and three in the excited state. At low temperatures, only the lowest doublet is populated. Figure 1 illustrates the energy level structure of this system in the presence of a magnetic field Kindem et al. (2018); Huan et al. (2019). Within a Kramers doublet, the effective spin Hamiltonian of the Kramers ions with non-zero nuclear spin, , can be written as Abragam and Bleaney (2012)
(1) |
where is the electronic (nuclear) Bohr magneton, is the external magnetic field, is the electronic (nuclear) spin operator, is the electronic (nuclear) Zeeman tensor, is the hyperfine tensor, and is the electronic-quadrupole tensor. For 171Yb, , because this term only appears for ions with facilitating the spectroscopic properties analysis of this isotope comparing to 167Er3+ with Tiranov et al. (2018).

III gate scheme discriptions
In this section, we discuss high-fidelity two-qubit gate schemes involving individual 171Yb3+ ions doped into YVO crystal (see Table 1 ). In the first approach, following Grimm et al. (2021), we exploit the magnetic dipolar interaction of Yb ions to implement a CNOT gate between two ground states by inducing a phase difference between two excited states within the ions. In our second approach, following Asadi et al. (2020a), we discuss a cavity-mediated interaction, including scattering a single photon off a cavity-ion system to execute a Controlled-Z (CZ) gate between two Yb ions. In the third approach, based on Barrett and Kok (2005), we explore a photon interference-based entanglement generation protocol that can be adapted into a CNOT gate between Yb ions. We demonstrate that incorporating a cavity can enhance the fidelity of this gate.
Gate Schemes | Determinism | Medium | # Levels |
---|---|---|---|
Magnetic dipolar | deterministic | crystal bulk | 4 |
Photon scattering | near deterministic | cavity | 3 |
Photon interference-based | probabilistic | bulk or cavity | 3 |
III.1 Magnetic dipolar interaction gate scheme
As suggested in Grimm et al. (2021); Kinos et al. (2021a), one can exploit the magnetic dipolar interaction between two Yb ions to perform a controlled-phase gate. In our setup, we consider two nearby Yb ions doped into YVO. For each ion, we define a “passive qubit” by utilizing two of the lowest hyperfine ground state energy levels that share the same electron spin but differ in nuclear spins. We denote these levels as and , as depicted in Figure 2. These passive qubits have a long coherence time ( ms Kindem et al. (2020)) and therefore can serve as memory qubits. However, for the gate operation, to speed up the slow microwave couplings, mitigate microwave-induced interactions on nearby ions and enhance the interaction strength, the quantum state of passive qubits must be transferred to “active qubits” in the excited state, which possess a significantly different g-tensor compared to the ground state. Grimm et al. (2021); Kinos et al. (2021a) For each Yb, we define active qubit levels using a different electronic spin level. This selection allows the active qubits to interact via the electronic magnetic dipolar interaction, which is proportional to , rather than the nuclear magnetic dipolar interaction, which is proportional to Grimm et al. (2021). Here, we define the active qubit levels using solid green lines and denote them by and as shown in Figure 2. We describe this selection in Section V.1. In the following, we examine the magnetic dipolar interactions between active qubits to design a two-qubit phase gate between two Yb ions.
First, each Yb ion should be initialized in the lowest hyperfine ground state () through optical pumping. Next, applying a microwave pulse can create a superposition of the and states. Following this, the population is transferred from the passive qubits to the active qubits by applying four pulses () simultaneously (two on each ion) as shown in Figure 2. This results in the transitions and , placing each Yb ion into a superposition of and . At this stage, a two-qubit phase gate is performed due to the Ising-type interaction between the active qubits. Specifically, if the control qubit (the first qubit) is in state , the phase of the target qubit (the second qubit) remains unchanged. Conversely, if the control qubit is in state , it induces a phase change in the target qubit. Finally, after a time delay, the quantum states are brought back to the passive qubits by applying another set of pulses (). A schematic representation of this process is shown in Figure 2.
Note that to perform a CNOT gate between passive qubits, additional single-qubit gates are required in conjunction with the above phase gate Vandersypen and Chuang (2005)
(2) |
where for a Pauli is defined as , and is the unitary implemented by the Ising interaction. Single qubit gates can be performed on passive qubits either through microwave fields or with the help of active qubits through optical fields Grimm et al. (2021).

III.2 Photon scatering gate scheme
Scattering a single photon from the qubit-cavity system can be used to perform a controlled phase-flip gate between qubits Duan et al. (2005); Lin et al. (2006). This method has been experimentally realized as a locally controlled phase-flip gate with neutral atoms Welte et al. (2018) and has been theoretically explored for non-local controlled phase gates between rare-earth ions in separate microsphere cavities Xiao et al. (2004). While these studies focus on the strong coupling regime, Ref Asadi et al. (2020a) extends the approach to implement a CZ gate between two qubits and provides a fidelity expression applicable to both weak and strong coupling regimes.
This scheme requires the detection of a single photon. Alternatively, it can be adapted for quantum non-demolition (QND) measurements to detect the presence of the photon without measuring or destroying its quantum state by probing the quantum emitter system O’Brien et al. (2016).
For this scheme, we employ two of the ground state hyperfine levels of Yb ions as qubit levels ( and ), while the first hyperfine level in the excited state serves as an ancillary level (). The interaction between two Yb ions is mediated by scattering a single photon (in the state ) from a single-sided cavity containing the Yb ions, as illustrated in Figure 3. We tune the transition of the ions to resonance with each other and with the cavity. If both qubits are in the state , the photon enters the cavity, reflects off its interior, and exits, resulting in a -phase shift in the joint ion-photon state. Conversely, if either or both qubits are in the state , the cavity mode is altered, preventing the photon from entering, and the photon is instead reflected off the cavity’s out-coupling mirror. The unitary operator describing this scheme is given with . A CNOT gate is achieved by post-selecting the state of the photon, and conjugated by Hadamard gates on the target qubit .

III.3 Photon interference-based gate scheme
This scheme, originally introduced by Barrett and Kok in Barrett and Kok (2005), is a non-deterministic entanglement generation protocol that can be applied in designing quantum network elements. Reiserer et al. (2016); Asadi et al. (2018, 2020b); Ji et al. (2022). This entanglement generation protocol can be adapted into a controlled-Z gate by measuring the photons in the mutually unbiased basis (MUB) instead of the photon number basis Lim et al. (2005).
For this scheme, a three-level system is required, consisting of two qubit levels in the ground state hyperfine manifold, denoted by and , and an ancillary excited state level, denoted by , as illustrated in Figure 4. Initially, both ions are pumped into the level. Then, by applying a microwave pulse to each ion, a superposition of is created. Next, an optical pulse is applied in resonance with the transition for each ion. The excited states will eventually decay (with potential enhancement from Purcell effects if the ions are placed in separate cavities), creating entanglement between the qubit state and the photon number. This results in the state , where indicates the presence (absence) of a photon. The emitted photon(s) are then sent to a beam splitter (BS) positioned midway between the ions, where the which-path information is erased before the photon detection event occurs. Detection of a single photon will project the joint state of the two ions into a maximally entangled state. However, there is a possibility that both ions were excited and emitted photons, but one of the photons was lost during transmission. To rule out this scenario, which would result in a product state rather than a Bell state, a microwave pulse (pulse in Figure 4) is applied to the ground state levels right after the first excitation-emission step, causing a spin flip. This is followed by a second round of optical excitation. Detecting two sequential single photons ensures that the remote Yb ions are in an entangled Bell state
(3) |
where sign indicates the case such that the same (different) detector(s) registered a photon. It can be shown that by altering the measurement basis, this scheme can be transformed into a CZ gate (see Section SIII for the derivation).

IV Fidelity Computation
To quantify the performance of a two-qubit gate, we compute the distance between an output state produced by the imperfect gate to an output state produced by the ideal implementation of the gate. To do so, we use tools from time-dependent perturbation theory to analytically derive expressions for the lowest-order non-zero error contributions, which for many realistic applications is sufficient to infer the quality of the gate. We model the noisy gate as a Markovian evolution, which allows us to exploit the Gorini, Kossakowski, Lindblad and Sudarshan (GKLS) master equation to describe the gate dynamics. It is worth noting that this approach works for any initial state.
In deriving expressions for the dominant error terms, we consider that imperfections may arise in three different ways: (1) Hermitian perturbations to the gate Hamiltonian, (2) weak Markovian decoherence due to irreversible processes captured by standard Lindblad collapse operators, and (3) non-Hermitian perturbations to the ideal gate Hamiltonian. The first error process gives rise to errors that maintain state coherence and could be eliminated through improved quantum characterization and control. The second error process captures the competition between the desired quantum evolution of the system and its direct interaction with the environment. The third error process can arise due to a combination of the previous two in an analytically simplified model. This latter process is useful for capturing dispersive interactions in the presence of environmental noise, such as in the virtual photon exchange gate Asadi et al. (2020a) (we refer the reader to Section SV for the details).
Consider that the desired gate is implemented by a gate Hamiltonian denoted by . We assume that this Hamiltonian produces a unitary propagator that evolves the quantum system state from time to some finite gate time , at which time the state is the ideal result of the gate i.e., the solution to the Scrödinger equation
(4) |
Due to the presence of imperfections, we consider that the actual evolution of the quantum state is governed by a master equation of the form for a Lindbladian superoperator that is defined by
(5) |
where is the Hamiltonian superoperator corresponding to Hamiltonian for a possibly non-Hermitian perturbation with weight . Direct irreversible errors are captured by the dissipative superoperator for all relevant Lindblad collapse operators with associated rate .
To simplify the analysis, we make the assumption that the gate time is characterized well and can be implemented with enough precision so that the actual output state is well-approximated by . That is, we assume errors arising due to other factors will dominate any small differences between and when . In that case, the fidelity of the actual output state with respect to the ideal state is then given by
(6) |
and we define the corresponding error as . Note that the assumption on can be relaxed but the result is a more complicated expression that is less intuitive.
Using time-dependent perturbation theory (see Section SI), we find that the error can be expanded into
(7) |
where the superscript indicates the -th order perturbation to and the subscripts and indicate whether the term arises due to perturbations of and irreversible processes captured by , respectively. The first-order terms are given by
(8) | ||||
(9) |
Here, we have employed the convention that for an operator .
An interesting consequence of the first-order result is that vanishes if is Hermitian. To obtain the first non-zero term arising from reversible errors (Hermitian perturbations to ), it is necessary to go to the second-order terms. However, since is generally non-zero at the first order, it will tend to dominate over and . The expressions for these two terms are presented in the Section SI for an interested reader. Here, out of second order terms, we only focus on the reversible error due to the Hermitian perturbation , which can be non-zero even in the absence of irreversible errors and is given by
(10) |
where the two-time correlation is computed by for any pair of operators .
The three expressions for , and can be evaluated analytically so long as it is possible to obtain an analytic solution to the ideal gate evolution. This is generally much easier than solving the full system master equation to obtain the exact fidelity.
In the following, we use this method to compute the fidelity of the magnetic dipolar gate, which serves as an example of having a Hermitian error Hamiltonian. Additionally, in Section SV, we re-compute the fidelity of the virtual photon exchange gate Asadi et al. (2020a) as an example of a non-Hermitian perturbation Hamiltonian. However, this gate and its fidelity calculation have already been discussed in Asadi et al. (2020a, b); Wein (2021).
V Fidelity estimations and implementations
In this section, we provide a detailed analysis of the fidelity expressions for each gate scheme, using both analytical and numerical techniques. We also discuss the requirements for the experimental implementation of the parameters involved in the fidelity expressions. Based on these results, we estimate the achievable fidelity of each gate scheme for individual Yb ions at the current state of technology.
V.1 Magnetic dipolar gate
Employing the perturbative method, which was described in the previous section, allows us to compute the fidelity of the magnetic dipole-dipole interaction gate as (see Section SII for the derivation)
(11) | ||||
where represents the activation time, the duration needed to transfer the population from passive to active qubits, with being the Rabi frequency. Here the dissipative parameters affecting the system are considered as optical decay rate corresponding to the transitions (), ground (excited) state spin decay rate , and ground (excited) state spin dephase rate . The interaction time between two active qubits in the excited states is denoted by where is the coupling strength between the qubits, with being the vacuum permeability, the Bohr magneton, as the principal value of the g-tensor, and the spatial distance between two Yb ions. In this analysis (for ) define the transverse components of the Ising-type interaction, where we consider the point symmetry with and . Here, is a coefficient defined by . For the second order error (denoted by coefficient ) is bounded above by which approves the estimation obtained in Ref. Grimm et al. (2021). In 171Yb3+:YVO, the excited state g-tensor components parallel and perpendicular to the crystal symmetry axis (the axis) are and Kindem et al. (2018). This results in a second-order error contribution to the fidelity of approximately , setting a lower bound for the fidelity. This lower bound is relevant in cases where transverse interactions mediate the gate process.
In modelling the system, we neglect certain mechanisms. Below, we describe how these effects scale relative to the two-qubit process.
Following Ref. Grimm et al. (2021), we disregard the nuclear magnetic dipolar interaction, as its strength is times weaker than the electronic magnetic dipolar interaction. This difference arises mostly from the small nuclear magnetic moment (), and the nuclear g factor ().
When performing the CNOT gate, some infidelity inevitably arises from the rotating single-qubit gates. Among the single-qubit gates, the Hadamard gate for example can be performed through microwave pulses between hyperfine levels which involves nuclear magneton and results in a long gate time of s (at mT). Conversely, one can couple nuclear levels indirectly through optical pulses at the cost of adding two consequent optical pulses and advantageous for achieving a faster gate time ns Grimm et al. (2021).
Ref. Grimm et al. (2021) discusses that the intrinsic optical decoherence rate causes the infidelity , with being the optical coherence time. Plugging in (at mT) Kindem et al. (2018), we get an infidelity of about . Therefore, in these analyses, we assume that the fidelity of the CNOT gate is primarily determined by the two-qubit gate processes. However, we include these fast excitations in our analysis to capture their effect on the two-qubit activation process (see the second term in Equation 11).
Moreover, the error corresponding to off-resonant excitations due to optical pulses (involved in both single-qubit and activation operations) cause infidelity of with being the hyperfine splitting Grimm et al. (2021). To avoid any off-resonance excitation, the Rabi frequency of the activation pulses should be much smaller than the smallest hyperfine splitting, and hence, choosing yields an insignificant infidelity of . For example for a splitting of MHz, a Rabi frequency of at most 10 MHz is required. Employing this Rabi frequency to apply four simultaneous -pulses results in an activation process to take approximately s.
If the splitting is small, achieving fast excitations can be challenging. In that case, one should examine how close the ions have to be to obtain fidelities above . Therefore, there is a trade-off between splitting and separation of ions. In Figure 5, we demonstrate fidelity as a function of Rabi frequency and ions’ separation illustrating the variation in laser power corresponding to the changing distance between two ions. The dipolar interaction strength falls off with , making the distance between two Yb ions a crucial factor in this scheme. As Figure 5 confirms, the distance cannot be arbitrarily large, as the fidelity of the two-qubit process decreases with increased separation. Two nearby ions can be found by implanting each ion at precise locations within the crystal, achieving a separation of just a few nanometers between them Kornher et al. (2016).
To limit the decay process, we choose two of the lowest ground state hyperfine levels with long enough coherence time as the passive qubit levels.
Furthermore, in 171Yb3+:YVO system with a nonzero perpendicular component of the g-tensor , choosing opposite nuclear levels within each electronic doublet reduces spin flip-flop errors during the two-qubit gate process Grimm et al. (2021). This approach offers two options for selecting active qubits within both different electron spin and nuclear spins (e.g., both solid or dashed green lines in Figure 2).
The optical decay rate for an ensemble of 171Yb3+: YVO is Hz Kindem et al. (2018).
We estimate the ground state spin dephasing rate with relation Hz, where ms (at mT) is the ground state spin coherence time Kindem et al. (2018).
For single ions coupled to a YVO photonic crystal cavity, the ground state spin coherence time is extended to ms using Carr-Purcell Meiboom-Gill (CPMG) decoupling sequences and the ground state spin decay rate and is measured to be Hz Kindem et al. (2020).
Similarly, we estimate the excited state spin dephasing rate with relation KHz, where is the excited state spin coherence time, measured to be s at low magnetic fields Bartholomew et al. (2020).
We assume that the excited state spin decay rate () is the same as the ground state (), as there is no available information on this to the best of our knowledge. Therefore, the fidelities of 0.98 and 0.92 can be achieved for distances nm, and nm respectively. The overall gate time is defined to be , where the coefficient is considered for activation and deactivation pulses. The corresponding gate times for distances nm, and nm are s, and s respectively.

V.2 Photon scattering gate
In this scheme, photon loss due to spontaneous emission, scattering, detector efficiency and other deficiencies make the gate operation probabilistic. However, they do not cause errors as long as the photon count is properly recorded Duan et al. (2005). Therefore, we assume that the photon is successfully detected and focus on the remaining sources of error that impact the fidelity. The fidelity of the photon-scattering gate scheme in high cooperativity regime is computed in Asadi et al. (2020a) to be
(12) | ||||
where is the cavity-photon detuning, denotes the detuning of the cavity frequency from the optical transition of the
system, is the spectral standard deviation of the incident photon that is modelled assuming a Gaussian wave packet for the photon, represents the effective decoherence rate, and is the gate time. The parameter defines the ratio between the cavity-ion coupling rate , and the cavity decay rate and
the cavity cooperativity is .
While the analytical expression for gate fidelity has been previously derived, it does not account for optical pure dephasing and spin decoherence effects. To address these limitations, we approach the problem using a fully numerical method based on input-output theory (see Section SIV). However, in our numerical simulation, we consider the photon to have a Lorentzian spectrum rather than the Gaussian spectrum used in the analytic expression since otherwise a large time-dependent master equation must be solved that substantially increases simulation time and restricts the parameter range that we can explore. Thus, although the qualitative behaviour and scaling properties are expected to be the same as in Equation 12, quantitative comparisons require caution.

In Figure 6, we display our fidelity estimations as a function of cavity parameters () using the numerical simulation where we consider a photon with a Lorentzian-shaped spectrum. We also use this numerical simulation to validate properties of the previous analytical approximation derived in Equation 12. Our numerical simulation reveals that this analytic expression can be modified to capture the degrading effect of optical pure dephasing when by replacing the cavity cooperativity with an effective cavity cooperativity , where , is the optical lifetime, and is the optical coherence time. Additionally, we find that , where represents the ground state spin coherence time, offers a reliable estimate of the error caused by spin decoherence. The exact proportionality coefficient, however, depends on the shape of the photon. When using the same definition of gate time as in Asadi et al. (2020a) along with where is the scattered photon lifetime, we find quantitatively agrees with the numerical simulation.
The numerical simulation also leads us to identify a previously-overlooked alteration of the lower-bound error scaling when spin decoherence is non-negligible. Assuming and the ions are in perfect resonance with each other and with the cavity, from Equation 12, we find that in the absence of spin dephasing (), it is always possible to reach the minimum error of by scattering a very narrow photon (). However, the gate time is proportional to the time it takes to scatter the photon (). Thus, as is increased to improve fidelity, it is necessary to increase and so if this causes the last term in Equation 12 to increase. This imposes a trade-off between having an error from the spectral broadening (i.e., term) or from the spin dephasing (i.e., term). In Ref. Asadi et al. (2020a), this trade-off was explored but assumed to always be of a second-order correction to the seemingly dominant term when the gate time was optimized. This is, in fact, not the case.
For a given cavity cooperativity and spin dephasing rate , there is an optimal bandwidth of the photon that minimizes the error. This optimal bandwidth can be computed by setting the third and the last terms in Equation 12 to be equal. Solving for the bandwidth implies that it must scale as and hence . Thus, if either or is large enough, this scheme will have an error scaling of rather than , which is significantly worse for large .
In addition to setting the photon bandwidth, it is necessary to define a photon truncation time that defines the total gate time (denoted by ). If one stops measuring the photon too soon, there will be low efficiency. On the other hand, if one waits too long, spin decoherence will be exacerbated. For the value of expected, we select this additional truncation time to be proportional to the time-scale of the scattered photon and such that it has a minimal impact on the fidelity for the range of cooperativity explored, leading to which implies only 0.1% loss.
In our simulations, we also assume that the gate operation is sufficiently fast for the ions to effectively avoid experiencing spectral diffusion during this period. However, even for single emitters, spectral diffusion of the optical transition can reduce the Ramsey coherence time Kindem et al. (2020).
Any remaining spectral diffusion could, in principle, be handled using active feedback or special decoupling techniques. Therefore, we focus on the upper bound fidelity imposed by the measured value only.
Although the spectral diffusion can be overcome with additional filtering or time binning, if unmitigated, this effect must be incorporated into the fidelity calculation. Assuming that spectral diffusion primarily determines the detuning between the ions’ optical transitions during the gate time, one can approximately account for this by including the time-dependent spectral diffusion function in the fidelity equations via the term.
In his scheme, similar to the previous approach, we employ two hyperfine levels in the ground state as qubit levels. However, unlike the previous scheme, only a single hyperfine level in the excited state is required to serve as an auxiliary state.
After qubit initialization,
the transitions of each ion should be brought into resonance with one another and with the cavity mode.
A magnetic field gradient can tune the optical transitions of the ions into resonance with each other.
On the other hand, to bring the cavity-ion system into resonance, the piezoelectric effect can be employed to adjust the cavity frequency relative to the transition frequency of the ions within it Goswami et al. (2018).
When bringing the ions into resonance with each other, it should be noted that the laser field can couple both hyperfine qubit levels to the excited state. To avoid this this undesired coupling, the transition should be detuned far from the cavity resonance.
Photonic cavities have been fabricated in YVO crystals using ion beam milling, achieving a cavity-Yb ion coupling rate of MHz and a cavity decay rate of GHz Kindem et al. (2020). For single Yb ions coupled to this cavity a reduced optical lifetime of s have been measured Kindem et al. (2020). However, the fabrication process poses a significant risk of crystal damage, making it a challenging method. An alternative approach involves designing a hybrid photonic crystal cavity system, where the cavity is fabricated separately and later transferred onto the crystal. For instance, a Gallium Arsenide (GaAs) photonic crystal cavity has been developed, demonstrating a reduced optical lifetime of s corresponding to the Purcell factor of 179 for strongly coupled single Yb ions coupled to hybrid GaAs-YVO system Wu et al. (2023).
V.3 Photon interference-based gate
In this scheme, the fidelity is primarily restricted by the optical quality of the source. Specifically, when transferring to an MUB basis, we assume all single-qubit gates and the beam splitter to be ideal. Therefore, we consider the fidelity of the two-qubit gate to be limited by the two-qubit operation.
This scheme requires the detection of two consecutive single photons. Assuming the detection time () is longer than the optical lifetime () the fidelity is given by Wein et al. (2020); Asadi et al. (2020b)
(13) |
where represents the optical decay rate from the auxiliary excited state to the ground-state qubit level (assuming the decay rate from is negligible), is the optical pure dephasing rate, and is the detuning between optical transitions of two Yb ions. We estimate the optical pure dephasing rate with relation kHz, where s is the optical coherence time of Yb ions in YVO crystal bulk Kindem et al. (2018). This results in a fidelity of .
This reduced fidelity is attributed to the Yb ion optical pure dephasing rate captured by , which is influenced by both spin decoherence and spectral fluctuations of the optical transition that occur faster than the optical lifetime. However, knowing that the ground state spin coherence time ms Kindem et al. (2020) is already two orders of magnitude larger than the unenhanced optical lifetime Kindem et al. (2018), the contribution of the ground state spin dephasing to the optical decoherence is negligible. Furthermore, any amount of Purcell enhancement needed to overcome the optical dephasing rate will further reduce the impact of the ground state spin decoherence and hence it can be safely neglected in the analysis.
While this gate scheme does not inherently require a cavity to be performed, below, we discuss how employing a cavity can enhance the fidelity of the gate between two Yb ions. In case of implying a cavity Equation 13 is modified to
(14) |
where defines the Purcell-enhanced optical decay rate of the ion in the presence of the cavity, is Yb ion decay rate with radiative () and non-radiative decay rate () parts. The Purcell factor in both strong coupling and bad-cavity regimes is defined as Wein (2021)
(15) |
with being the cavity decay rate, and
(16) |

We demonstrate how the fidelity of this scheme varies with different cavity parameters in Figure 7. Additionally, we determine the necessary Purcell factor for achieving a specific fidelity threshold.
Assuming resonant excitation results in photons with a Lorentzian spectral shape, and since this scheme takes two emissions, we consider the gate time for this scheme twice the gate time definition in the photon scattering gate . Therefore, we allow at most for each emission time bin. However, it should be noted that here denotes the Purcell-enhanced lifetime of the photon set by the emitter while in photon scattering scheme, the photon originates from an external source and not the ion. Furthermore, this gate time neglects the time taken to perform the necessary spin-flip operation between the emission events. However, as discussed in Section V.1
we assume that single-qubit operations can be implemented much faster than the time it takes to emit two photons.
In this scheme, as in the photon scattering scheme, qubit levels are defined using two of the lowest hyperfine levels in the ground state, along with an ancillary level in the excited state.
VI Gate scheme Comparison
We now analyze all three
gate schemes, among which the magnetic dipolar gate is fully deterministic, the photon scattering gate is near deterministic, and the photon interference-based scheme is a probabilistic scheme with a maximum success probability of .
We begin our comparison with a number of qualitative remarks.
In terms of experimentally controlling the energy levels, the magnetic dipolar gate requires two energy levels in both ground and excited states while photon scattering and photon interference-based can be performed utilizing only two energy levels in the ground and one auxiliary level in the excited state.
Among the gates, since dipolar-type gates require direct interactions between the qubits (ions), they are highly limited by the spatial separation between the individual ions and hence, the effectiveness of the magnetic dipolar gate falls off significantly if the distance exceeds a few nanometers. At such small distances, the spatial addressability of individual ions is a challenge. Conversely, cavity-based gates have the advantage of being less sensitive to ion separation, enabling operation over distances comparable to the cavity dimensions. However, designing such gates can be challenging due to the difficulty in fabricating nanophotonic crystal cavities, which are limited by the availability of high-quality thin films.
Additionally, bringing optical transitions into resonance— with each other and the cavity mode in photon scattering schemes—requires more advanced experimental techniques.
The photon interference-based scheme offers greater flexibility in terms of separation distance, as it does not rely on direct qubit-qubit interactions.
For instance, a cavityless version of the photon interference-based gate scheme has been successfully implemented between two NV centers separated by 3 meters Bernien et al. (2013). While the photon interference-based gate can also be operated without a cavity, incorporating a cavity for rare-earth ions enhances fidelity through Purcell enhancement.
For a quantitative comparison of the gates, our results in Figure 8 demonstrate that there is a fidelity-time trade-off in all gates, where faster gates generally yield higher fidelities. Ideally, the most favourable gates achieve both high fidelity and short operation times.
For a given fidelity, the magnetic dipolar gate is potentially the fastest while the photon scattering scheme is the slowest (with
photon interference-based scheme in between). Conversely, for a given gate time, the magnetic dipolar scheme has the lowest fidelity while the photon scattering scheme has the highest. However, in practice, fidelity and gate time depend on other key variables namely ion separation for the magnetic dipolar scheme and cavity cooperativity for the others. Smaller separation and higher cooperativity improve performance (see the symbols in Figure 8), but the specific cooperativity requirements are scheme-dependent. In particular one can already see from the symbols in Figure 8 that the photon interference-based scheme has the best performance for realistic values of . The role of cooperativity in determining the performance of the different cavity-based schemes is shown in more detail in Figure 9.

The limiting parameter for cavity-based gate schemes is currently achievable cavity cooperativity. Therefore, in Figure 9 we compare the performance of the cavity-based gate schemes in terms of required cooperativity. The photon interference-based scheme is more applicable than the photon scattering scheme with the currently reported cavity cooperativity for Yb to implement a two-qubit gate. To summarize the cooperativity dependence of the different gate schemes, Figure 9 shows that the infidelity of the photon interference-based gate scales as , while for the photon scattering scheme, the infidelity scales as . For instance, with a cavity cooperativity of 100, the gate errors for the photon interference-based and photon scattering gate schemes are approximately and respectively.

VII Conclusion and Outlook
In this paper, we discussed and compared various two-qubit gate schemes, including deterministic approaches such as magnetic dipolar gate, near-deterministic schemes like photon scattering, and probabilistic schemes based on photon interference between individual Yb ions doped into YVO.
We also introduced a new method for calculating the fidelity.
To implement a two-qubit gate, one could leverage the well-known electric dipolar blockade mechanism Ohlsson et al. (2002), which directly implements a CNOT gate without the need for additional single-qubit gates however, ion separation remains a limiting factor for this scheme as well. This gate scheme has been thoroughly discussed for other rare-earth ions, such as erbium and europium, in Asadi et al. (2018). However, for Yb:YVO, measuring the change in the permanent electric dipole moment () is challenging due to the absence of a first-order DC Stark shift, which is a consequence of the site symmetry Kindem et al. (2020). This makes it difficult to apply this gate effectively.
An alternative approach for implementing a deterministic two-qubit gate involves virtual photon exchange within a cavity Asadi et al. (2020a). This scheme has been widely used as a readout protocol in superconducting qubits Majer et al. (2007); Blais et al. (2004). Applying it to rare-earth ions requires a high-cooperativity cavity Asadi et al. (2020b). In Section SV, we re-calculate the fidelity of this scheme. This example illustrates a scenario involving a non-Hermitian error Hamiltonian, which we analyze using the perturbative method developed in this work. With current technology and in the absence of excited state spin dephasing, this scheme achieves a fidelity of . However, as demonstrated in Asadi et al. (2020b); Wein (2021), monitoring the cavity emission can enhance the fidelity of this gate scheme through the post-selection of successful gates, though this comes at the cost of rendering the scheme non-deterministic.
Another scheme of interest for optically long-lived rare-earth ions is introduced in Martin and Whaley (2019). They demonstrated that the photon interference-based scheme discussed earlier can be modified to become nearly deterministic by incorporating feedback during the measurement process.
Looking forward, one can leverage the optimal gate protocol established in this work for designing a quantum repeater between individual Yb ions and also for distributed quantum computing tasks.
While this work focuses on YVO, it is worth noting that similar approaches presented here could also be applied to other crystals, such as YSO, if a nanophotonic cavity can be designed for 171Yb3+: YSO to assess the performance of cavity-based gate schemes.
Similar gate comparisons could also be done for other systems (other RE ions in solids, other kinds of defect centers etc.), where the most favourable gates will likely depend on system parameters such as radiative lifetimes and coherence times as well as the experimental state of the art, e.g. for defect localization and cavity cooperativity.
Acknowledgement
This work is funded by the NSERC Alliance quantum consortia grants ARAQNE and QUINT and the NRC High-throughput Secure Networks (HTSN) challenge program. We thank Andrei Faraon, Mikael Afzelius, Arsalan Motamedi, Jiawei Ji, Nasser Gohari Kamel and Andrei Ruskuc for useful discussions.
References
- Jennewein et al. (2001) T. Jennewein, G. Weihs, J.-W. Pan, and A. Zeilinger, Physical review letters 88, 017903 (2001).
- Sangouard et al. (2011) N. Sangouard, C. Simon, H. De Riedmatten, and N. Gisin, Reviews of Modern Physics 83, 33 (2011).
- Deutsch (1989) D. E. Deutsch, Proceedings of the royal society of London. A. mathematical and physical sciences 425, 73 (1989).
- Nielsen and Chuang (2001) M. A. Nielsen and I. L. Chuang, Phys. Today 54, 60 (2001).
- Kitaev et al. (2002) A. Y. Kitaev, A. Shen, and M. N. Vyalyi, Classical and quantum computation, 47 (American Mathematical Soc., 2002).
- Devoret and Schoelkopf (2013) M. H. Devoret and R. J. Schoelkopf, Science 339, 1169 (2013).
- Loss and DiVincenzo (1998) D. Loss and D. P. DiVincenzo, Physical Review A 57, 120 (1998).
- Kinos et al. (2021a) A. Kinos, D. Hunger, R. Kolesov, K. Mølmer, H. de Riedmatten, P. Goldner, A. Tallaire, L. Morvan, P. Berger, S. Welinski, et al., arXiv preprint arXiv:2103.15743 (2021a).
- Wrachtrup and Jelezko (2006) J. Wrachtrup and F. Jelezko, Journal of Physics: Condensed Matter 18, S807 (2006).
- Longdell et al. (2005) J. J. Longdell, E. Fraval, M. J. Sellars, and N. B. Manson, Physical review letters 95, 063601 (2005).
- Zhong et al. (2015a) M. Zhong, M. P. Hedges, R. L. Ahlefeldt, J. G. Bartholomew, S. E. Beavan, S. M. Wittig, J. J. Longdell, and M. J. Sellars, Nature 517, 177 (2015a).
- Dibos et al. (2018) A. Dibos, M. Raha, C. Phenicie, and J. D. Thompson, Physical review letters 120, 243601 (2018).
- Zhong et al. (2015b) T. Zhong, J. M. Kindem, E. Miyazono, and A. Faraon, Nature communications 6, 8206 (2015b).
- Ourari et al. (2023) S. Ourari, Ł. Dusanowski, S. P. Horvath, M. T. Uysal, C. M. Phenicie, P. Stevenson, M. Raha, S. Chen, R. J. Cava, N. P. de Leon, et al., Nature 620, 977 (2023).
- Nicolas et al. (2023) L. Nicolas, M. Businger, T. Sanchez Mejia, A. Tiranov, T. Chanelière, E. Lafitte-Houssat, A. Ferrier, P. Goldner, and M. Afzelius, npj Quantum Information 9, 21 (2023).
- Tiranov et al. (2018) A. Tiranov, A. Ortu, S. Welinski, A. Ferrier, P. Goldner, N. Gisin, and M. Afzelius, Physical Review B 98, 195110 (2018).
- Kindem et al. (2018) J. M. Kindem, J. G. Bartholomew, P. J. Woodburn, T. Zhong, I. Craiciu, R. L. Cone, C. W. Thiel, and A. Faraon, Physical Review B 98, 024404 (2018).
- Welinski et al. (2016) S. Welinski, A. Ferrier, M. Afzelius, and P. Goldner, Physical Review B 94, 155116 (2016).
- Ortu et al. (2018) A. Ortu, A. Tiranov, S. Welinski, F. Fröwis, N. Gisin, A. Ferrier, P. Goldner, and M. Afzelius, Nature materials 17, 671 (2018).
- Welinski et al. (2020) S. Welinski, A. Tiranov, M. Businger, A. Ferrier, M. Afzelius, and P. Goldner, Physical Review X 10, 031060 (2020).
- Businger et al. (2020) M. Businger, A. Tiranov, K. T. Kaczmarek, S. Welinski, Z. Zhang, A. Ferrier, P. Goldner, and M. Afzelius, Physical review letters 124, 053606 (2020).
- Businger et al. (2022) M. Businger, L. Nicolas, T. S. Mejia, A. Ferrier, P. Goldner, and M. Afzelius, Nature communications 13, 6438 (2022).
- Chiossi et al. (2024) F. Chiossi, E. Lafitte-Houssat, A. Ferrier, S. Welinski, L. Morvan, P. Berger, D. Serrano, M. Afzelius, and P. Goldner, Physical Review B 109, 094114 (2024).
- Ranon (1968) U. Ranon, Physics Letters A 28, 228 (1968).
- Kränkel et al. (2004) C. Kränkel, D. Fagundes-Peters, S. Fredrich, J. Johannsen, M. Mond, G. Huber, M. Bernhagen, and R. Uecker, Applied Physics B 79, 543 (2004).
- Bartholomew et al. (2020) J. G. Bartholomew, J. Rochman, T. Xie, J. M. Kindem, A. Ruskuc, I. Craiciu, M. Lei, and A. Faraon, Nature communications 11, 3266 (2020).
- Ruskuc et al. (2022) A. Ruskuc, C.-J. Wu, J. Rochman, J. Choi, and A. Faraon, Nature 602, 408 (2022).
- Xie et al. (2024) T. Xie, R. Fukumori, J. Li, and A. Faraon, arXiv preprint arXiv:2407.08879 (2024).
- Fraval et al. (2005) E. Fraval, M. J. Sellars, and J. Longdell, Physical review letters 95, 030506 (2005).
- Rippe et al. (2008) L. Rippe, B. Julsgaard, A. Walther, Y. Ying, and S. Kröll, Physical Review A—Atomic, Molecular, and Optical Physics 77, 022307 (2008).
- Longdell et al. (2004) J. Longdell, M. Sellars, and N. Manson, Physical review letters 93, 130503 (2004).
- Wesenberg et al. (2007) J. H. Wesenberg, K. Mølmer, L. Rippe, and S. Kröll, Physical Review A 75, 012304 (2007).
- Walther et al. (2009) A. Walther, B. Julsgaard, L. Rippe, Y. Ying, S. Kröll, R. Fisher, and S. Glaser, Physica Scripta 2009, 014009 (2009).
- Walther et al. (2015) A. Walther, L. Rippe, Y. Yan, J. Karlsson, D. Serrano, A. Nilsson, S. Bengtsson, and S. Kröll, Physical Review A 92, 022319 (2015).
- Kinos et al. (2021b) A. Kinos, L. Rippe, S. Kröll, and A. Walther, Physical Review A 104, 052624 (2021b).
- Kinos et al. (2022) A. Kinos, L. Rippe, D. Serrano, A. Walther, and S. Kröll, Physical Review A 105, 032603 (2022).
- Kolesov et al. (2012) R. Kolesov, K. Xia, R. Reuter, R. Stöhr, A. Zappe, J. Meijer, P. Hemmer, and J. Wrachtrup, Nature communications 3, 1029 (2012).
- Yin et al. (2013) C. Yin, M. Rancic, G. G. de Boo, N. Stavrias, J. C. McCallum, M. J. Sellars, and S. Rogge, Nature 497, 91 (2013).
- Yang et al. (2023) L. Yang, S. Wang, M. Shen, J. Xie, and H. X. Tang, Nature Communications 14, 1718 (2023).
- Kindem et al. (2020) J. M. Kindem, A. Ruskuc, J. G. Bartholomew, J. Rochman, Y. Q. Huan, and A. Faraon, Nature 580, 201 (2020).
- Zhong et al. (2018) T. Zhong, J. M. Kindem, J. G. Bartholomew, J. Rochman, I. Craiciu, V. Verma, S. W. Nam, F. Marsili, M. D. Shaw, A. D. Beyer, et al., Physical review letters 121, 183603 (2018).
- Equall et al. (1994) R. W. Equall, Y. Sun, R. Cone, and R. Macfarlane, Physical review letters 72, 2179 (1994).
- Zhong et al. (2016) T. Zhong, J. Rochman, J. M. Kindem, E. Miyazono, and A. Faraon, Optics express 24, 536 (2016).
- Wu et al. (2023) C.-J. Wu, D. Riedel, A. Ruskuc, D. Zhong, H. Kwon, and A. Faraon, Physical Review Applied 20, 044018 (2023).
- Ohlsson et al. (2002) N. Ohlsson, R. K. Mohan, and S. Kröll, Optics communications 201, 71 (2002).
- Asadi et al. (2018) F. K. Asadi, N. Lauk, S. Wein, N. Sinclair, C. O’Brien, and C. Simon, Quantum 2, 93 (2018).
- Grimm et al. (2021) M. Grimm, A. Beckert, G. Aeppli, and M. Müller, Prx Quantum 2, 010312 (2021).
- Asadi et al. (2020a) F. K. Asadi, S. Wein, and C. Simon, Physical Review A 102, 013703 (2020a).
- Childs (2017) A. M. Childs, Lecture notes at University of Maryland 5 (2017).
- Lindblad (1976) G. Lindblad, Communications in mathematical physics 48, 119 (1976).
- Wein et al. (2020) S. C. Wein, J.-W. Ji, Y.-F. Wu, F. Kimiaee Asadi, R. Ghobadi, and C. Simon, Physical Review A 102, 033701 (2020).
- Huan et al. (2019) Y. Q. Huan, J. M. Kindem, J. G. Bartholomew, and A. Faraon, in CLEO: QELS_Fundamental Science (Optica Publishing Group, 2019) pp. JTu2A–26.
- Abragam and Bleaney (2012) A. Abragam and B. Bleaney, Electron paramagnetic resonance of transition ions (Oxford University Press, 2012).
- Barrett and Kok (2005) S. D. Barrett and P. Kok, Physical Review A 71, 060310 (2005).
- Duan et al. (2005) L.-M. Duan, B. Wang, and H. Kimble, Physical Review A 72, 032333 (2005).
- Vandersypen and Chuang (2005) L. M. Vandersypen and I. L. Chuang, Reviews of modern physics 76, 1037 (2005).
- Lin et al. (2006) X.-M. Lin, Z.-W. Zhou, M.-Y. Ye, Y.-F. Xiao, and G.-C. Guo, Physical Review A 73, 012323 (2006).
- Welte et al. (2018) S. Welte, B. Hacker, S. Daiss, S. Ritter, and G. Rempe, Physical Review X 8, 011018 (2018).
- Xiao et al. (2004) Y.-F. Xiao, X.-M. Lin, J. Gao, Y. Yang, Z.-F. Han, and G.-C. Guo, Physical Review A 70, 042314 (2004).
- O’Brien et al. (2016) C. O’Brien, T. Zhong, A. Faraon, and C. Simon, Physical Review A 94, 043807 (2016).
- Reiserer et al. (2016) A. Reiserer, N. Kalb, M. S. Blok, K. J. van Bemmelen, T. H. Taminiau, R. Hanson, D. J. Twitchen, and M. Markham, Physical Review X 6, 021040 (2016).
- Asadi et al. (2020b) F. K. Asadi, S. Wein, and C. Simon, Quantum Science and Technology 5, 045015 (2020b).
- Ji et al. (2022) J.-W. Ji, Y.-F. Wu, S. C. Wein, F. K. Asadi, R. Ghobadi, and C. Simon, Quantum 6, 669 (2022).
- Lim et al. (2005) Y. L. Lim, A. Beige, and L. C. Kwek, Physical review letters 95, 030505 (2005).
- Wein (2021) S. C. Wein, arXiv preprint arXiv:2105.06580 (2021).
- Kornher et al. (2016) T. Kornher, K. Xia, R. Kolesov, N. Kukharchyk, R. Reuter, P. Siyushev, R. Stöhr, M. Schreck, H.-W. Becker, B. Villa, et al., Applied Physics Letters 108 (2016).
- Goswami et al. (2018) S. Goswami, K. Heshami, and C. Simon, Physical Review A 98, 043842 (2018).
- Bernien et al. (2013) H. Bernien, B. Hensen, W. Pfaff, G. Koolstra, M. S. Blok, L. Robledo, T. H. Taminiau, M. Markham, D. J. Twitchen, L. Childress, et al., Nature 497, 86 (2013).
- Majer et al. (2007) J. Majer, J. Chow, J. Gambetta, J. Koch, B. Johnson, J. Schreier, L. Frunzio, D. Schuster, A. A. Houck, A. Wallraff, et al., Nature 449, 443 (2007).
- Blais et al. (2004) A. Blais, R.-S. Huang, A. Wallraff, S. M. Girvin, and R. J. Schoelkopf, Physical Review A 69, 062320 (2004).
- Martin and Whaley (2019) L. S. Martin and K. B. Whaley, arXiv preprint arXiv:1912.00067 (2019).
- Note (1) Note that we are implicitly using the fact that .
- Combes et al. (2017) J. Combes, J. Kerckhoff, and M. Sarovar, Advances in Physics: X 2, 784 (2017).
Supplementary Material
SI Perturbative gate fidelity
In this section, we elaborate on our techniques presented in Section IV. We show how one can compute the infidelity up to the desired order, and in particular, we provide a derivation for Equation 8, Equation 9, and Equation 10.
We rewrite Equation 5 as
(S1) |
with . More specifically, we may write as the superoperator considering the effects of the -th term, i.e., . We then begin with considering evolution in the interaction picture. Let
(S2) |
where the unitary operator is defined as , and the subscript denotes quantities in the interaction picture. Moreover, we note the operator can be written via as
(S3) |
Differentiating with respect to time gives
(S4) |
where (i) follows from Equation S1 and (ii) is due to Equation S2. Furthermore, a simple calculation demonstrates that, employing the definition we provided in Equation 6, we obtain
(S5) |
In order to compute , we note that one can obtain at any time, say , by rewriting Equation S4 in the integral form 111Note that we are implicitly using the fact that .
(S6) |
Using this equation recursively, we get the following first and second-order approximate solution
(S7) |
and
(S8) |
More generally, one can recursively employ to obtain the -th order approximation to . We note that the difference between and is of the order of i.e., . Using such expansions, together with Equation S5 we get
(S9) |
In what follows, we elaborate on the computation of Equation S9 and demonstrate calculations that yield to Equation 8. Next, in Section SI.2, we consider the non-Hermitian perturbation to the Hamiltonian and derive Equation 9.
SI.1 Derivation of Equation 8 and Equation 10
Let us start by examining the fidelity for the first-order approximation in Equation S7. This gives
(S10) |
Note that , which means that the first-order contribution of (i.e., reversible errors) to infidelity is zero. However, accounting for first-order irreversible errors, we have
(S11) |
which follows directly from Equation S3. Note that
(S12) |
as we are adapting the notation . Using a similar argument for the second term on the right-hand side of Equation S11 we get
(S13) |
with
which is identical to Equation 8. We proceed to the second term correction by computing . Note that gives us the second order approximation to . However, as we are merely interested in the first non-zero perturbation terms, we will keep only the terms including and as the first-order contribution of is zero. We have
(S14) |
By a straightforward calculation, we get
(S15) |
which corresponds to as in Equation 10. Similarly, we get
(S16) |
and
(S17) |
which gives
(S18) |
SI.2 Derivation of Equation 9
We note that for a non-Hermitian perturbation, the evolution can be written as
(S19) |
where is the non-Hermitian perturbation. Employing the approach introduced earlier to get Equation S7, we find that
(S20) |
A straightforward calculation yields
This gives us the as in Equation 9.
SII Fidelity calculation of magnetic dipolar interaction gate scheme
To compute the fidelity of the magnetic dipolar gate, we employ the perturbative method outlined in Section IV, with the detailed derivation provided in Section SI. This involves solving the Schrödinger equation to derive the ideal gate evolution and evaluating the lowest-order error expressions. We also numerically solve the full system’s master equation for a realistic set of parameters to verify the analytic approximation. Figure S1 compares the two solutions, and demonstrates that our approach effectively captures the infidelities as expected.
The magnetic dipolar interaction controlled-phase gate can be broken down into three steps: activation, interaction, and deactivation. To obtain an analytic solution for the state evolution for the ideal gate, we assume that the activation (deactivation) step is performed using a square pulse with a temporal width () that is much shorter than the interaction time . This allows us to separate the evolution over the gate time into three piecewise time-independent operations that can each be solved analytically. That is, we assume that the ions are essentially decoupled during the activation and deactivation steps.
The total Hamiltonian of the system is given by
(S21) |
where is the free Hamiltonian with . In the rotating frame defined by , the driving Hamiltonian becomes time-independent , where
Here subscripts indicate transitions and , while the subscripts represent the reverse transitions and respectfully. Without loss of generality, we assume . In this rotating frame, the interaction Hamiltonian remains unchanged and is governed by the magnetic dipole-dipole interaction between two Yb ions (labelled with 1 and 2), as
(S22) |
where is the vacuum permeability, is the electronic magnetic dipole moment which is defined as , with being the Bohr magneton, and is g tensor with principal values of (for ). Here is the distance between two ions in the crystal, where we assume two ions are located along the z-axis ( axis of the YVO crystal). We consider the point symmetry with , and . While governs the transverse parts of the interaction (such as the spin flip-flop process), we compute the errors arising from these transverse interactions in detail. Therefore, we divide the interaction Hamiltonian into two parts
(S23) |
with
where is an Ising-type interaction with coupling strength and represent Pauli matrices. The transverse interactions are given with , where (for ) is the transverse interaction strength.
The reduced magnetic dipole-dipole interaction (denoted by ) can be exploited to execute the gate by use of the non-trivial unitary evolution of the active qubits . The activation and deactivation steps can be approximated by the evolution in the rotating frame. With these pieces, we can write the total gate propagator (i.e., the unitary) describing the evolution as follows
(S24) |
Therefore, the final state after the evolution is
(S25) |
For this gate analysis, the sources of error are the transverse dipole-dipole interaction described by the Hermitian Hamiltonian and any decoherence processes such as spontaneous emission and dephasing. Thus, we can immediately conclude that and focus on the first-order term and the second-order term .
To evaluate the irreversible error , we consider equal optical spontaneous emission rates for each ion, denoted by (), that causes decay across the transition () with the corresponding Lindblad collapse operator (). We also consider a spin relaxation rate () that refers to the ground (excited) state spin-flip corresponding to the Lindblad operator () and a spin pure dephasing rate () of the ground (excited) state spin doublet corresponding to Lindblad operator (). Putting these together, we evaluate given in Equation 8 using the ideal gate propagator in Equation S24 to arrive at
(S26) | ||||
where we have assumed and .
For the reversible error, we evaluate Equation 10 using the error Hamiltonian given by in Equation S23 along with the ideal unitary propagator to obtain
(S27) |
where the coefficient is .

SIII Implementation of a controlled-Z gate based on photon interference-based scheme
Following Lim et al. (2005), one can apply a CZ gate using different measurement setups. Let the first and the second ion be initially described by the arbitrary joint state
(S28) |
After excitation and spontaneous emission steps, we get the following joint entangled state of the ions and photons
(S29) |
Instead of measuring in the number basis of photons, we can measure in a mutually unbiased basis (MUB), where the measurement projects onto states of the following form of the cavities
(S30) |
Note that
(S31) |
Hence, post selecting on the state of the cavities being , we are effectively applying the gate . Choosing with implements the controlled-Z gate.
SIV Fidelity calculation of photon scattering gate scheme
Our method for computing the fidelity of the photon scattering scheme is based on the so-called SLH formalism Combes et al. (2017), which stands for Scattering matrix, Lindblad operators, and Hamiltonian. This formalism allows to easily construct quantum master equations that include cascaded interactions mediated by waveguide modes. In order to obtain the master equation, we consider a cascaded system where a single photon source is modelled by an ideal two-level emitter whose emission is cascaded into the cavity that contains both ions. In the single-excitation regime, the cavity can additionally be described by a two-level system. For the ions, since we assume one of the two transitions is far off resonant with the cavity, we approximate each of them using a three-level system. Thus, the total Hilbert space of the simulated system has a size , corresponding to a Fock-Liouville space of .
The evolution of the incoming single-photon pulse can be described by an SLH triple , where is the identity operator, and is the cavity Hamiltonian (here stands for ‘source’). The Lindblad operators include as the only non-zero component, where is the scattered photon bandwidth and is the source photon annihilation operator. The cavity-ion system is modelled by the SLH triple where and , where is the frequency between and , is the separation frequency between and in the excited state, and is the separation frequency between and in the ground state. The Lindblad operators are , , and . The collapse operators corresponding to the emission of light are and we additionally include optical and spin decoherence modelled by the collapse operators , , and for both ions.
Using the cascade rules from Combes et al. (2017), we have that the final triple is , where , and with being the cascaded interaction term. This final triple then defines a time-independent master equation , which is then solved by for an initial state where , , , and .
Since we solve the time-dependent solution (the virtual source cavity is not driven), the resulting photon that cascades into the cavity containing the ions will have a Lorentzian spectral shape. This method could be used along with a time-dependent to shape the photon, but at the cost of a significantly increased simulation time.
On the other hand, a Lorentzian-shaped photon complicates the analytic solution using the method described in Asadi et al. (2020a). This is because Lorentzian shapes diverge under integration, and thus require a truncation. In any case we expect that in Equation 12, at least for , only the relationship between and depends on the exact shape of the photon.
In principle, it should be possible to obtain an analytic approximation of the fidelity directly from the cascaded master equation, perhaps using a modification of the perturbative approach but for cascaded systems. However, we have thus far failed to do so because the ideal gate evolution is irreversible. This could be a topic for future exploration.
SV Fidelity calculation of virtual photon exchange gate scheme
The fidelity of the virtual photon exchange scheme was previously established by some of us in Ref Asadi et al. (2020a).
However, the method used could not account for all dissipative parameters, which resulted in an upper bound on gate fidelity.
Later, the authors in Refs Asadi et al. (2020b); Wein (2021) used numerical computation to add the effect of optical pure dephasing rate to the fidelity. Using the theoretical framework outlined in Section IV and assuming that the system operates in the bad cavity limit and considering the adiabatic regime, we reproduce these results and provide an analytical formulation for the fidelity of the virtual photon exchange scheme.
In the case of virtual photon exchange, it is useful to model noise using an effective non-Hermitian Hamiltonian. This is because the ideal gate evolution arises due to the adiabatic elimination of the mediating cavity mode. From this perspective, the cavity decay rate causes a non-Hermitian component to arise in the effective ion-ion interaction Hamiltonian.
We begin by writing the total Hamiltonian for the three-body system
(S32) |
where
(S33) |
Here is the cavity coupling rate of transition , is the cavity coupling rate of the transition . We also assume is the same for both transitions in both Yb ions.
Let be the detuning between the cavity and the ion’s optical transition . In the high-cooperativity regime, a large cavity detuning allows for a dispersive interaction to mediate the two-qubit gate. In this regime, the unitary operator describing the evolution can be solved by adiabatically eliminating the cavity mode to obtain the ion-ion interaction Hamiltonian valid when Asadi et al. (2020a). In the limit that and , a control phase gate is perfectly implemented after an interaction time of .
The true time evolution operator in the absence of irreversible errors is given by and the final state is . However, to use the perturbative method, it is necessary to analytically solve the system governed by the perfect Hamiltonian with an error Hamiltonian . Due to the large detunings, the eigenvalues of can be much larger than those of , which violates the conditions to apply perturbation theory. Thus, it is necessary also to eliminate the cavity mode for the error Hamiltonian and use . Unfortunately, eliminating the cavity mode in this way also eliminates the direct cavity-emitter coupling and hence all impact due to the cavity decay is lost, which greatly modifies the qualitative features of the gate error.
To maintain a dependence on the cavity decay rate while deriving a valid perturbation, we first consider the effective non-Hermitian Hamiltonian of the three-body system. This effective Hamiltonian captures the amplitude damping effect due to the cavity in the Hamiltonian evolution, but neglects the stochastic jump of the cavity mode to the ground state. Luckily, such a jump forces the system to leave the expected computational space and thus can be neglected without affecting the state fidelity Asadi et al. (2020a).
We then proceed to eliminate the cavity mode for the non-Hermitian Hamiltonian to obtain the error-prone interaction Hamiltonian . The damping effect caused by the cavity decay rate on the effective coupling rate now appears as a non-Hermitian error Hamiltonian . With this, we can evaluate the expressions in Equation 8 to obtain the non-zero first-order error terms while accounting for any additional decoherence terms impacting the emitter systems. Notably, unlike the method used in Ref. Asadi et al. (2020a), this approach allows for the analytic evaluation of first-order errors due to optical pure dephasing of the emitters.
Following this procedure, we find
(S34) | ||||
where is optical dephasing rate equal for both ions, is cavity detuning, is cavity cooperativity, is cavity decay rate, and is spin dephasing rate of the excited state for both ions. This result is exactly the same as the expression obtained in Asadi et al. (2020a) (except a factor of two which comes from fidelity definition) once considering the optimal detuning condition , but now we include pure dephasing terms. Thus, the perturbative approach demonstrated in this work offers a real practical advantage, particularly in terms of faster symbolic computation times, especially in higher-dimensional Hilbert spaces. Note that the study in Asadi et al. (2020b) also considered the impact of optical pure dephasing for this gate, but the technique relied on numerical simulations of the master equation to infer the scaling constant. Here, the perturbative approach allows one to capture the effects of all dissipative parameters up to any arbitrary order analytically.
To validate the analytic approximation, we compare it to an exact numerical simulation of the master equation dynamics for parameters where all relevant sources of error are non-negligible (see Figure S2).
