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Qualitative quantum simulation of resonant tunneling and localization with the shallow quantum circuits

P. Wang [email protected] Department of Mathematics and Physics, North China Electric Power University, 102206 Beijing, China
Abstract

In a circuit-based quantum computer, the computing is performed via the discrete-time evolution driven by quantum gates. Accurate simulation of continuous-time evolution requires a large number of quantum gates and therefore suffers from more noise. In this paper, we find that shallow quantum circuits are sufficient to qualitatively observe some typical quantum phenomena in the continuous-time evolution limit, such as resonant tunneling and localization phenomena. We study the propagation of a spin excitation in Trotter circuits with a large step size. The circuits are formed of two types of two-qubit gates, i.e. XY gates and controlled-RxR_{x} gates, and single-qubit RzR_{z} gates. The configuration of the RzR_{z} gates determines the distribution of the spin excitation at the end of evolution. We demonstrate the resonant tunneling with up to four steps and the localization phenomenon with dozens of steps in Trotter circuits. Our results show that the circuit depth required for qualitative observation of some significant quantum phenomena is much smaller than that required for quantitative computation, suggesting that it is feasible to apply qualitative observations to near-term quantum computers. We also provide a way to use the physics laws to understand the error propagation in quantum circuits.

pacs:
11.30.Er, 03.65.Nk, 03.65.-w, 42.82.Et

Keywords: Qualitative quantum simulation, shallow quantum circuits, resonant tunneling, localization, error propagation

1 Introduction

Quantum computing can be used to investigate quantum systems as a universal simulator [1, 2, 3]. In quantum mechanics, the time evolution of quantum states is driven by a Hamiltonian and described by a unitary operator. In a digital quantum computer, the computing is carried out by using a set of basic quantum gates, and usually each gate is a single-qubit or two-qubit unitary operator. The combination of these basic gates allows us to implement the evolution operator of a multi-qubit system. A specific approach is Trotter-Suzuki decomposition [4, 5, 6, 7], in which we approximate the continuous-time evolution with a discrete-time evolution. For a general local-interaction Hamiltonian, we can explicitly construct the evolution operator for a short time, i.e. one time step, from quantum gates. By repetitive gates of one time step for NTN_{T} times, we realize the target time evolution. With a smaller step size, the discrete-time evolution is closer to continuous-time evolution, however, this requires a larger NTN_{T}, i.e. more quantum gates. Considering a practical device [8], quantum computing is inaccurate due to decoherence and imperfect control, and usually the error increases with the gate number [9, 10, 11]. Fault-tolerant quantum computing using quantum error correction is able to remove the error but impractical using today’s technologies, because of the large qubit overhand for encoding [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25]. A family of practical methods have been developed to mitigate errors, however the gate number is usually limited due to the finite error rate on the physical level [26, 27, 35, 29, 30, 31, 32, 33, 34, 35, 36]. Therefore we can only realize the discrete-time Trotter evolution with a small number of Trotter steps. This motivates researches on the effect of large step size, i.e. few Trotter steps. Trotter errors induced by large step sizes in digital quantum simulation have received extensive attention[37, 38, 39, 40, 41]. Some studies show that the Trotter step sizes can separate quantum chaotic phase from localized phase and comparatively large Trotter steps can retain controlled errors for local observables[42, 43].

In this paper, we are interested in, when the step size is large (or equivalently the steps are few), whether some typical physical effects in the limit of continuous-time can still be observed. The physical effects that we focus on are the resonant tunneling phenomenon and the localization in disordered systems [44, 45]. We find that, in a large-step-size Trotter circuit, the resonant tunneling with nn resonant peaks can be observed in circuits with n+1n+1 Trotter steps. Experiments on an IBM quantum computer are implemented to demonstrate the resonant tunneling with up to three peaks. We also study the spin transport with the disordered configurations of the RzR_{z} gates (we will specify these gates later) using the large step size. The numerical simulation of circuits with 1515 qubits and tens of Trotter steps exhibits the localization in the disordered configuration. The results indicate that shallow quantum circuits on near-term quantum computers are sufficient to qualitatively simulate some significant physical phenomena. The localization phenomenon of the spin excitation distribution implies that the bit-flip error does not affect the measurement on distant qubits if the configuration of the RzR_{z} gates is disordered. These conclusions can be generalized if we replace XY gates with controlled-RxR_{x} gates, which can transform one spin excitation into multiple spin excitations.

This paper is organized as follows. In Sec. 2, we discuss the quantum transverse-field XY model and corresponding quantum circuits, the map between the Hamiltonian of model and corresponding circuit is established in the limit of small Trotter step size. In Sec. 3, we discuss the propagation of the spin excitation, and compare resonant tunneling effects in circuits in the small-step-size limit and the large-step-size limit. In Sec. 4, we investigate the transport of the spin excitation in the ordered and disordered configurations of single-qubit RzR_{z} gates. Conclusion is given at the end of the paper.

Refer to caption
Figure 1: (Color online) (a) The schematic diagram of quantum circuit, which includes the initialization, NTN_{T} Trotter steps, and measurements. The preparation for the initial state is in the red dashed box including a NOT gate (i.e. the X gate). The blue rectangle represents a layer of two-qubit gates. The orange rectangles represent single-qubit RzR_{z} gates. (b) The schematic diagram of a layer of two-qubit gates. (c) The matrix representations for two types of 2-qubit gates: XY gates and controlled-RxR_{x} gates.

2 Model

In this paper, we study the particle transport in the discrete-time evolution in the quantum transverse-field XY model. The purpose of this study is to investigate whether some typical quantum phenomena occurring in the continuous-time limit can be qualitatively observed in discrete-time evolution when the step size is large. The typical quantum phenomena we concerned here including resonant tunneling and localization effect, which caused by interference during the particle transport. Generally, the quantum transverse-field XY model can be used to describe the propagation of spin excitations, or particle transport when spin excitations can be treated as particles [46]. Additionally, in the quantum transverse-field XY model, the corresponding discrete-time evolution operator can be mapped into a quantum circuit according to the Trotter-Suzuki decomposition. Therefore, we investigate the particle transport with the quantum transverse-field XY model

H=jN1JjHj,j+1XY+jNVjHjZ,H=\sum_{j}^{N-1}J_{j}H_{j,j+1}^{XY}+\sum_{j}^{N}V_{j}H_{j}^{Z}, (1)

where jj is the lattice site, NN is the system size, JjJ_{j} is the interaction strength and VjV_{j} is the transverse-field strength. Hj,j+1XY=(σjxσj+1x+σjyσj+1y)/4H_{j,j+1}^{XY}=(\sigma_{j}^{x}\sigma_{j+1}^{x}+\sigma_{j}^{y}\sigma_{j+1}^{y})/4 and HjZ=σjz/2H_{j}^{Z}=\sigma_{j}^{z}/2, where σji\sigma_{j}^{i} (i=x,y,z)(i=x,y,z) represents the Pauli matrix at the jjth site. In the case of Jj<0J_{j}<0 and Vj<0V_{j}<0, the ground state of the transverse-field XY chain is |000\left|00...0\right\rangle. In this work, we consider the time evolution of the initial state |ψ(0)=|100\left|\psi(0)\right\rangle=\left|10...0\right\rangle which represents a spin excitation on the first site. The time evolution is in the subspace of single spin excitation.

The time evolution operator U(t)U(t) of quantum transverse-field XY model can be approximated with a quantum circuit. According to Trotter-Suzuki decomposition, U(t)U(t) can be expanded approximately

U(t)=eiHt(j=1N1Uj,j+1XY(Jjτ)j=1NUjZ(Vjτ))NT,U(t)=e^{-iHt}\approx\left(\prod_{j=1}^{N-1}U_{j,j+1}^{XY}(J_{j}\tau)\prod_{j=1}^{N}U_{j}^{Z}(V_{j}\tau)\right)^{N_{T}}, (2)

where NTN_{T} is the number of Trotter steps, τ=t/NT\tau=t/N_{T} is the size of each Trotter step. Uj,j+1XY(θj)=eiHj,j+1XYθjU_{j,j+1}^{XY}(\theta_{j})=e^{-iH_{j,j+1}^{XY}\theta_{j}} and UjZ(ϕj)=eiHjZϕjU_{j}^{Z}\left(\phi_{j}\right)=e^{-iH_{j}^{Z}\phi_{j}}, where θj=Jjτ\theta_{j}=J_{j}\tau and ϕj=Vjτ\phi_{j}=V_{j}\tau.

Refer to caption
Figure 2: (Color online) (a1)-(d1) The circuit systems. The parameters of RzR_{z} gates are marked on the orange squares. For convenience, in (c1) and (d1) we use single green rectangle to denote a layer of two-qubit gates. (a2)-(d2) The quantum wells. The energy levels of the wells are denoted by the horizontal lines in the wells. (a3)-(d3) The tight-binding chain. (a4)-(d4) Numerical result of the discrete-time evolution. The solid curves represent the probability of observing the spin excitation on the last qubit after the time evolution. The curves with circles are the results obtaining on a IBM quantum computer. The curves with light colors are the numerical result of the continuous-time evolution.

The corresponding discrete-time evolution is realized with the quantum circuit as shown in Fig. 1(a). The time evolution of each term, i.e. UXYU^{XY} and UZU^{Z}, are two-qubit XY gate and single-qubit RzR_{z} gate, respectively. The circuit has NN qubits {q1,q2,,qN}\{q_{1},q_{2},...,q_{N}\} and NTN_{T} Trotter steps, and every Trotter step contains one layer of two-qubit XY gates and one layer of single-qubit RzR_{z} gates (We neglect RzR_{z} gates in the last Trotter step, because these gates does not have any effect on the distribution of the spin excitation). In a quantum circuit, a NOT gate (i.e. the Pauli σx\sigma_{x} matrix) can flip the qubit |0\left|0\right\rangle to |1\left|1\right\rangle, therefore we prepare the initial state |ψ(0)\left|\psi(0)\right\rangle by applying a NOT gate on the first qubit, i.e. |ψ(0)=σ1x|0N=|100\left|\psi(0)\right\rangle=\sigma_{1}^{x}\left|0\right\rangle^{N}=\left|10...0\right\rangle [see the dashed rectangle in Fig. 1(a)]. The matrix representation of XY gate is shown in Fig. 1(c).

The behavior of a spin excitation under discrete-time evolution depends on step size. When the Trotter step size is sufficiently small, the propagation of a spin excitation in quantum circuit is equivalent to the particle transport in continuous-time evolution. In this case, the propagation of spin excitation can exhibit some typical physical phenomena in particle transport. A natural question to ask is, in shallow quantum circuits with a large Trotter step size, whether some physical phenomena during continuous-time evolution nevertheless remains, so that we can observe these phenomena using fewer quantum gates. In the following text, we show that we observe the resonant tunneling and localization effect in shallow circuits even if the Trotter step size is large.

3 Resonant tunneling for large Trotter step size

In this section, we study the resonance phenomenon related to the transport of the spin excitation during the discrete-time evolution with a large step size. We study the situation where the size of the circuit system is N=2,3,4,5N=2,3,4,5 respectively, where the spin excitation is created by a NOT gate and transmitted through the XY gate. In each one case, we qualitatively find the resonance tunneling in the limit of continuous-time evolution and give the corresponding minimum number of Trotter steps.

We also study the transport of a spin excitation through the controlled-RxR_{x} gate. In quantum computing, computational errors occur due to the imperfect control and decoherence always error. The typical one is bit-flip error corresponding to an unwanted NOT gate. So studying the transmission of the spin excitation can help us understand the propagating of bit-flip errors. In actual quantum circuits, errors are not only transmitted, but also replicated. For example, a single-qubit error will become a multi-qubit error after passing through the controlled-RxR_{x} gate. This effect potentially has a greater impact in quantum computing, because multi-qubit errors can lead to the failure of quantum error correction. So in this section, we also study the behavior of a spin excitation propagating through the controlled-RxR_{x} gate and find the resonance phenomenon similar to that propagating through the XY gate.

3.1 Resonant tunneling in two-qubit circuit

We first discuss the case of N=2N=2. The Hamiltonian of the transverse-field XY model with 2 sites is

H=J(σ1xσ2x+σ1yσ2y)/4+V1σ1z/2+V2σ2z/2.H=J(\sigma_{1}^{x}\sigma_{2}^{x}+\sigma_{1}^{y}\sigma_{2}^{y})/4+V_{1}\sigma_{1}^{z}/2+V_{2}\sigma_{2}^{z}/2. (3)

According to the Trotter-Suzuki decomposition, the time evolution operator can be approximated using a sequence of quantum gates

U(t)=eiHt[U1,2XY(Jτ)U1Z(V1τ)U2Z(V2τ)]NT,U(t)=e^{-iHt}\approx[U_{1,2}^{XY}(J\tau)U_{1}^{Z}(V_{1}\tau)U_{2}^{Z}(V_{2}\tau)]^{N_{T}}, (4)

where Uj,j+1XY(Jjτ)=ei(σjxσj+1x+σjyσj+1y)JjτU_{j,j+1}^{XY}(J_{j}\tau)=e^{-i(\sigma_{j}^{x}\sigma_{j+1}^{x}+\sigma_{j}^{y}\sigma_{j+1}^{y})J_{j}\tau}, UjZ(Vjτ)=eiσ1zVjτ/2U_{j}^{Z}\left(V_{j}\tau\right)=e^{-i\sigma_{1}^{z}V_{j}\tau/2}, and τ=t/NT\tau=t/N_{T}. The right side of ”\approx” in Eq. (4) represents the discrete-time evolution. The accuracy of the approximation increases with NTN_{T}. In Fig. 2(a1), we show the schematic diagram of the quantum circuit corresponding to discrete-time evolution when NT=2N_{T}=2 (the last two RzR_{z} gates have been ignored, and so do the other systems). As we can see, the yellow squares represent that the qubits are initialized to |00,\left|00\right\rangle, which is the ground state of HH in the case of V1,V2<0V_{1},V_{2}<0 and JV1+V2J\ll V_{1}+V_{2}. Following the initialization, a NOT gate on the first qubit flips |00\left|00\right\rangle into |10\left|10\right\rangle, which represents that there is a spin excitation on the first qubit. |10\left|10\right\rangle is the initial state that we want to prepare. Due to the symmetry of Hamiltonian, the spin excitation lies in the subspace spanned by {|10\left|10\right\rangle, |01\left|01\right\rangle}. In this single-spin-excitation subspace, we can regard a spin excitation as a particle moving in a 22-site tight-binding chain [see Fig. 2(a3)], and the corresponding Hamiltonian is

H=J(|1001|+|0110|)+V1|1010|+V2|0101|,H=J\left(\left|10\right\rangle\left\langle 01\right|+\left|01\right\rangle\left\langle 10\right|\right)+V_{1}\left|10\right\rangle\left\langle 10\right|+V_{2}\left|01\right\rangle\left\langle 01\right|, (5)

where |10\left|10\right\rangle or |01\left|01\right\rangle represents a particle in the first or second site respectively, JJ is the tunneling strength, V1V_{1} and V2V_{2} are the on-site potentials. In this chain system with fixed parameters JJ, V2V_{2} and variable V1V_{1}, resonance phenomenon can be observed [47, 48, 49, 50, 51]: Assuming that a particle is on the first site at t=0t=0, the probability, which is denoted by P2(V1,t)P_{2}(V_{1},t), of observing the particle on the second site at any time tt reaches maximum when V1=V2V_{1}=V_{2}. We numerically simulate this phenomenon in a discrete-time evolution with a large NTN_{T} in Fig. 2(a4). We exhibit P2P_{2} at t=15t=15 (units of 1/J1/JJ=0.1J=0.1) with the transparent lines for V2=0,π/2V_{2}=0,-\pi/2. As expected, P2P_{2} has one resonance peak at V1=V2V_{1}=V_{2}. We can understand this phenomenon more visually with the help of double-well system as shown in Fig. 2(a2). Supposing that a particle is bounded in the left well at the initial time, and then it will tunnel to the right well with a certain probability. When the potential energies on both sides are equivalent (i.e. V1=V2V_{1}=V_{2}), the tunneling probability reaches maximization.

We wonder, when NTN_{T} is small, whether we can qualitatively observe a similar resonant effect as the large NTN_{T} limit. Motivated by this, we discuss the case of NT=2N_{T}=2. The parameters are redefined as θ=Jτ,ϕ=V1τ,\theta=J\tau,\phi=V_{1}\tau, and α=V2τ\alpha=V_{2}\tau for convenience. Our concern is the probability of finding spin excitation on the 22nd qubit. Figure 2(a1) shows two propagation paths of the spin excitation from the 11st to the 22nd qubit. The blue path contributes isinθcosθei(αϕ)/2-i\sin\theta\cos\theta e^{i(\alpha-\phi)/2} to the amplitude, the purple path contributes isinθcosθei(αϕ)/2-i\sin\theta\cos\theta e^{-i(\alpha-\phi)/2} to the amplitude, so the final state of the quantum circuit reads

U1,2XY(θ)U2Z(α)U1Z(ϕ)U1,2XY(θ)|10=A10|10+A01|01,U_{1,2}^{XY}\left(\theta\right)U_{2}^{Z}\left(\alpha\right)U_{1}^{Z}\left(\phi\right)U_{1,2}^{XY}(\theta)\left|10\right\rangle=A_{10}\left|10\right\rangle+A_{01}\left|01\right\rangle,

where A01=isinθcosθ(ei(αϕ)/2+ei(αϕ)/2)A_{01}=-i\sin\theta\cos\theta(e^{-i(\alpha-\phi)/2}+e^{i(\alpha-\phi)/2}). The probability of spin excitation measured on the second qubit is

P01(θ,ϕ)=2sin2θcos2θ(1+cos(αϕ)).P_{01}(\theta,\phi)=2\sin^{2}\theta\cos^{2}\theta\left(1+\cos(\alpha-\phi)\right). (6)

In Fig. 2(a4), we plot P01P_{01} as function of ϕ\phi with θ=π/2\theta=\pi/2 and α=0,π/2\alpha=0,-\pi/2. The accurate results (solid lines) computed using QuESTlink coincide with the experimental outcomes (solid lines with point symbols) computed using the IBM quantum device ”ibmq_rome”. The resonance peak is seen near ϕ=α\phi=\alpha, which is related to the interference term 2sin2θcos2θcos(αϕ)2\sin^{2}\theta\cos^{2}\theta\cos(\alpha-\phi) in Eq. (6). P2P_{2} coincides well with P01P_{01}, both of them have only one peak and the position of the peak is α=ϕ\alpha=\phi (i.e. V1=V2V_{1}=V_{2}). The above analysis indicates that only two Trotter steps are required for the circuit to exhibit resonant tunneling similar to the continuous-time evolution (i.e. NTN_{T} is enough large).

3.2 Multi-qubit system

In this section we discuss the multi-qubit quantum circuits with the system sizes N=3,4,5N=3,4,5 respectively.

We first discuss three-qubit system. The Hamiltonian of the transverse-field XY chain with 33 sites reads

H\displaystyle H =\displaystyle= Jj2(σjxσj+1x+σjyσj+1y)/4\displaystyle J\sum_{j}^{2}(\sigma_{j}^{x}\sigma_{j+1}^{x}+\sigma_{j}^{y}\sigma_{j+1}^{y})/4 (7)
+V1σ1z/2+V2σ2z/2+V1σ3z/2.\displaystyle+V_{1}\sigma_{1}^{z}/2+V_{2}\sigma_{2}^{z}/2+V_{1}\sigma_{3}^{z}/2.

The corresponding time evolution can be approximated,

U(t)\displaystyle U(t) =\displaystyle= eiHt[U1,2XY(Jτ)U2,3XY(Jτ)U1Z(V1τ)×\displaystyle e^{-iHt}\approx[U_{1,2}^{XY}(J\tau)U_{2,3}^{XY}(J\tau)U_{1}^{Z}(V_{1}\tau)\times (8)
U2Z(V2τ)U3Z(V1τ)]NT,\displaystyle U_{2}^{Z}(V_{2}\tau)U_{3}^{Z}(V_{1}\tau)]^{N_{T}},

where Uj,j+1XY(Jjτ)=ei(σjxσj+1x+σjyσj+1y)JjτU_{j,j+1}^{XY}(J_{j}\tau)=e^{-i(\sigma_{j}^{x}\sigma_{j+1}^{x}+\sigma_{j}^{y}\sigma_{j+1}^{y})J_{j}\tau}, UjZ(Vjτ)=eiσ1zVjτ/2U_{j}^{Z}\left(V_{j}\tau\right)=e^{-i\sigma_{1}^{z}V_{j}\tau/2}, τ=t/NT\tau=t/N_{T}. The right side of above equation represents the discrete-time evolution. The quantum circuit implementing the discrete-time evolution is shown in Fig. 2(b1). We concern the time evolution of single spin excitation. When the single spin excitation can be treated as a particle, the transverse-field XY chain is equal to a 33-site tight-binding chain [see Fig. 2(b3)],

H\displaystyle H =\displaystyle= J(|100010|+|010100|+h.c.)+V1|100100|\displaystyle J\left(\left|100\right\rangle\left\langle 010\right|+\left|010\right\rangle\left\langle 100\right|+\mathrm{h.c.}\right)+V_{1}\left|100\right\rangle\left\langle 100\right| (9)
+V2|010010|+V1|001001|.\displaystyle+V_{2}\left|010\right\rangle\left\langle 010\right|+V_{1}\left|001\right\rangle\left\langle 001\right|.

where JJ is the coupling strength, the potentials on three sites are V1,V2V_{1},V_{2} and V1V_{1} respectively. In the case that V1V_{1} is the only variable parameter, the resonance phenomenon means that the probability, P3(t,V1)P_{3}(t,V_{1}), of finding particle on the 33th site reaches maximum at V1=V2V_{1}=V_{2}. We numerically simulate the discrete-time evolution with a large NTN_{T} and show the resonance phenomenon. The initial state is |100\left|100\right\rangle. In Fig. 2(b4), we plot P3P_{3} as the function of V1V_{1} at t=22t=22 (units of 1/J1/JJ=0.1J=0.1) with the transparent lines. P3P_{3} has one resonance peak at V1=V2V_{1}=V_{2}. Similarly, we can consider the resonance phenomenon with a triple-well system [see Fig. 2(b2)], whose Hamiltonian can be written as Eq. (9). In the triple-well system, the probability of the particle tunneling from the left well to the right well reaches maximization at V1=V2,V_{1}=V_{2}, when the resonance occurs.

As for the small NTN_{T}, we find that only two Trotter steps are required for the 33-qubit circuit to exhibit resonant tunneling. The parameters of the 33-qubit circuit are redefined as Jτ=θ,V1τ=ϕ,V2τ=αJ\tau=\theta,V_{1}\tau=\phi,V_{2}\tau=\alpha. As shown the blue, red and purple dashed lines in Fig. 2(b1), the spin excitation goes through three paths. The blue and red paths contribute cosθ(isinθ)(isinθ)eiα/2\cos\theta(-i\sin\theta)(-i\sin\theta)e^{-i\alpha/2} to the amplitude, and the purple path contributes isinθcosθei(α/2ϕ)cosθ(isinθ)-i\sin\theta\cos\theta e^{i\left(\alpha/2-\phi\right)}\cos\theta(-i\sin\theta) to the amplitude. The amplitude of the final state on the third qubit is

A001=sin2θcosθ(2eiα/2+cosθei(α/2ϕ)).A_{001}=-\sin^{2}\theta\cos\theta\left(2e^{-i\alpha/2}+\cos\theta e^{i\left(\alpha/2-\phi\right)}\right). (10)

Accordingly, the probability of finding the spin excitation on the 33rd qubit is

P001(θ,ϕ)=sin4θcos2θ(4+cos2θ+4cosθcos(αϕ)).P_{001}(\theta,\phi)=\sin^{4}\theta\cos^{2}\theta(4+\cos^{2}\theta+4\cos\theta\cos\left(\alpha-\phi\right)). (11)

The interference term 4sin4θcos3θcos(αϕ)4\sin^{4}\theta\cos^{3}\theta\cos\left(\alpha-\phi\right) dominates the resonant tunneling effect. In Fig. 2(b4), we plot P001P_{001} as function of ϕ\phi with θ=π/2\theta=\pi/2 and α=0,π/2\alpha=0,-\pi/2. The accurate results (solid lines) computed using QuESTlink coincide with the experimental outcomes (solid lines with point symbols) computed using the IBM quantum device ”ibmq_rome”. As we can see, P3P_{3} coincides well with P001P_{001}, both of them have only one peak and the position of the peak is α=ϕ\alpha=\phi (i.e. V1=V2V_{1}=V_{2}). The above analysis indicates that only two Trotter steps are required for the 33-qubit circuit to exhibit similar resonant tunneling in the continuous-time limit.

We also study the four-qubit system. The Hamiltonian of the 44-site transverse-field XY chain we studied is

H\displaystyle H =\displaystyle= J1j=1,3(σjxσj+1x+σjyσj+1y)/4+J2(σ2xσ3x+σ2yσ3y)/4\displaystyle J_{1}\sum_{j=1,3}(\sigma_{j}^{x}\sigma_{j+1}^{x}+\sigma_{j}^{y}\sigma_{j+1}^{y})/4+J_{2}(\sigma_{2}^{x}\sigma_{3}^{x}+\sigma_{2}^{y}\sigma_{3}^{y})/4 (12)
+V1σ1z/2+V2σ2z/2V2σ3z/2+V1σ4z/2.\displaystyle+V_{1}\sigma_{1}^{z}/2+V_{2}\sigma_{2}^{z}/2-V_{2}\sigma_{3}^{z}/2+V_{1}\sigma_{4}^{z}/2.

The corresponding discrete-time evolution is in the form

U(t)\displaystyle U(t) =\displaystyle= eiHt[U1,2XY(J1τ)U2,3XY(J2τ)U3,4XY(J1τ)×\displaystyle e^{-iHt}\approx[U_{1,2}^{XY}(J_{1}\tau)U_{2,3}^{XY}(J_{2}\tau)U_{3,4}^{XY}(J_{1}\tau)\times (13)
U1Z(V1τ)U2Z(V2τ)U3Z(V2τ)U3Z(V1τ)]NT,\displaystyle U_{1}^{Z}(V_{1}\tau)U_{2}^{Z}(V_{2}\tau)U_{3}^{Z}(-V_{2}\tau)U_{3}^{Z}(V_{1}\tau)]^{N_{T}},

where Uj,j+1XY(Jjτ)=ei(σjxσj+1x+σjyσj+1y)JjτU_{j,j+1}^{XY}(J_{j}\tau)=e^{-i(\sigma_{j}^{x}\sigma_{j+1}^{x}+\sigma_{j}^{y}\sigma_{j+1}^{y})J_{j}\tau}, UjZ(Vjτ)=eiσ1zVjτ/2U_{j}^{Z}\left(V_{j}\tau\right)=e^{-i\sigma_{1}^{z}V_{j}\tau/2}, τ=t/NT\tau=t/N_{T}. We plot the quantum circuit implementing the discrete-time evolution in Fig. 2(c1). In the single-particle subspace, the equivalent 44-site tight-binding chain is

H\displaystyle H =\displaystyle= J1(|10000100|+|00100001|)+J2(|01000010|\displaystyle J_{1}\left(\left|1000\right\rangle\left\langle 0100\right|+\left|0010\right\rangle\left\langle 0001\right|\right)+J_{2}(\left|0100\right\rangle\left\langle 0010\right| (14)
+|00100100|)+V1|10001000|+V2|01000100|\displaystyle+\left|0010\right\rangle\left\langle 0100\right|)+V_{1}\left|1000\right\rangle\left\langle 1000\right|+V_{2}\left|0100\right\rangle\left\langle 0100\right|
V2|00100010|+V1|00010001|.\displaystyle-V_{2}\left|0010\right\rangle\left\langle 0010\right|+V_{1}\left|0001\right\rangle\left\langle 0001\right|.

As we marked in Fig. 2(c4), the coupling strengths between neighboring sites are J1,J2J_{1},J_{2}, and J1J_{1} respectively, and the on-site potentials on the four sites are V1,V2,V2,V1V_{1},V_{2},-V_{2},V_{1} respectively. In the condition of J1J2,V2J_{1}\ll J_{2},V_{2}, we numerically simulate the discrete-time evolution of one particle with a large NTN_{T}. In Fig. 2(c4), P4(V1,t)P_{4}(V_{1},t), which is the probability of finding the particle on the 44th site, is plotted as function of V1V_{1} with the transparent lines. The cases of V2=10V_{2}=10 and V2=20V_{2}=20 are studied when J1=1J_{1}=1, t=3t=3 (units of 1/J11/J_{1}), J2=20J_{2}=20. As we can see, the resonant peaks can be observed near J22+V22\sqrt{J_{2}^{2}+V_{2}^{2}} and J22+V22-\sqrt{J_{2}^{2}+V_{2}^{2}}, and the distance between the resonance peaks varies when V2,V2V_{2},-V_{2} change. One can observe the same resonance phenomenon in a triple-well system [see Fig. 2(c2)]. The energy levels of the left and right wells are V1V_{1}, the middle well has two energy levels: J22+V22\sqrt{J_{2}^{2}+V_{2}^{2}} and J22+V22-\sqrt{J_{2}^{2}+V_{2}^{2}}. If there is a particle in the left well at the initial moment, then we can detect this particle in the right well with a certain probability. When V1V_{1} is close to J22+V22\sqrt{J_{2}^{2}+V_{2}^{2}} or J22+V22-\sqrt{J_{2}^{2}+V_{2}^{2}}, the probability of finding particle in right well reaches the maximum. The distance of the two peaks varies with V2V_{2}.

When NTN_{T} is small, we find that only three Trotter steps are required for the 44-qubit circuit to qualitatively exhibit resonant tunneling. We investigate the propagation of the spin excitation in the circuit. P0001P_{0001}, which is the probability of finding spin excitation on the 44th qubit, is shown (the solid lines) in Fig. 2(c1). The parameters are redefined as J1τ=θ1,J2τ=θ2,V1τ=ϕ,V2τ=αJ_{1}\tau=\theta_{1},J_{2}\tau=\theta_{2},V_{1}\tau=\phi,V_{2}\tau=\alpha. With θ1=θ2=π/1.5\theta_{1}=\theta_{2}=\pi/1.5, we plot two cases of α=π/4\alpha=\pi/4 and α=π/1.5\alpha=-\pi/1.5. Compare Fig. 2(c4) with (a4) or (b4), we find that the peaks are not at α\alpha and α-\alpha. However, the distance between every two peaks is changed when α\alpha is adjusted, which is the major characteristic of the resonant tunneling effect.

Finally, we discuss the five-qubit system. The Hamiltonian of the 55-site transverse field XY chain we studied is

H\displaystyle H =\displaystyle= J1j=1,4(σjxσj+1x+σjyσj+1y)/4\displaystyle J_{1}\sum_{j=1,4}(\sigma_{j}^{x}\sigma_{j+1}^{x}+\sigma_{j}^{y}\sigma_{j+1}^{y})/4 (15)
+J2j=2,3(σjxσj+1x+σjyσj+1y)/4\displaystyle+J_{2}\sum_{j=2,3}(\sigma_{j}^{x}\sigma_{j+1}^{x}+\sigma_{j}^{y}\sigma_{j+1}^{y})/4
+V1σ1z/2+V2σ2z/2V2σ4z/2+V1σ5z/2.\displaystyle+V_{1}\sigma_{1}^{z}/2+V_{2}\sigma_{2}^{z}/2-V_{2}\sigma_{4}^{z}/2+V_{1}\sigma_{5}^{z}/2.

The quantum circuit implementing the discrete-time evolution is shown in Fig. 2(d1). In the single-particle subspace, the equivalent 55-site tight-binding chain is

H\displaystyle H =\displaystyle= [J1(|1000001000|+|0001000001|)\displaystyle[J_{1}\left(\left|10000\right\rangle\left\langle 01000\right|+\left|00010\right\rangle\left\langle 00001\right|\right)
+J2(|0100000100|+|0010000010|)+h.c.]\displaystyle+J_{2}(\left|01000\right\rangle\left\langle 00100\right|+\left|00100\right\rangle\left\langle 00010\right|)+\mathrm{h.c.}]
+V1|1000010000|+V2|0100001000|\displaystyle+V_{1}\left|10000\right\rangle\left\langle 10000\right|+V_{2}\left|01000\right\rangle\left\langle 01000\right|
V2|0001000010|+V1|000010001|.\displaystyle-V_{2}\left|00010\right\rangle\left\langle 00010\right|+V_{1}\left|00001\right\rangle\left\langle 0001\right|.

The schematic diagram of Hamiltonian Eq. (3.2) is shown in Fig. 2(c4). We numerically simulate the continuous-time evolution (implemented with the large NTN_{T}). The system parameters are J1=0.1J_{1}=0.1, t=40t=40 (units of 1/J11/J_{1}), J2=20J_{2}=20, V2=10,20V_{2}=10,20. We focus on the probability P5(V1,t)P_{5}(V_{1},t) (see the transparent lines in Fig. 2(d4)) of finding particle on the 55th site. As we can see, P5(V1,t)P_{5}(V_{1},t) will reach the maximum when V10,±2J22+V22V_{1}\approx 0,\pm\sqrt{2J_{2}^{2}+V_{2}^{2}}, and the distance of the peaks is affected by V2V_{2}. The same resonance phenomenon can be observed in a triple-well system (see Fig. 2(d2)). The energy levels on the left and right wells are V1V_{1}, the middle well has three energy levels: 2J22+V22\sqrt{2J_{2}^{2}+V_{2}^{2}}, 0, and 2J22+V22-\sqrt{2J_{2}^{2}+V_{2}^{2}}. When V1=J22+V22V_{1}=\sqrt{J_{2}^{2}+V_{2}^{2}}, 0, or J22+V22-\sqrt{J_{2}^{2}+V_{2}^{2}}, the probability of finding particles in right well reaches the maximum. The distances between three peaks vary with V2V_{2}.

When NTN_{T} is small, we find that only four Trotter steps are required for the circuit to qualitatively exhibit resonant tunneling. We investigate the propagation of the spin excitation in the circuit shown in Fig. 2(d1). We redefine parameters as J1τ=θ1,J2τ=θ2,V1τ=ϕ,V2τ=α,J_{1}\tau=\theta_{1},J_{2}\tau=\theta_{2},V_{1}\tau=\phi,V_{2}\tau=\alpha, and denote the probability of finding spin excitation on the 55th qubit as P00001P_{00001}. Figure 2(d4) exhibits P00001P_{00001} (the solid lines) as function of ϕ\phi by fixing α,θ1=π/3\alpha,\theta_{1}=\pi/3 and θ2=π/1.2\theta_{2}=\pi/1.2. We compare two cases that α\alpha is π/1.5,π/5\pi/1.5,\pi/5 respectively. The distance between the peaks is changed when α\alpha is adjusted, which is the major characteristic of the resonant tunneling effect.

3.3 CR model

Refer to caption
Figure 3: (Color online) (a) 4-qubit circuit. The two-qubit XY gates are replaced by controlled-RxR_{x} gates. (b) The probability of finding the spin excitation on the last qubit as function of ϕ\phi. (c) The probability of observing the spin excitation on the last third of the qubits varies with Trotter step η\eta. (d) The probability distribution of spin excitation at η=10\eta=10. (c) and (d) use the same legend and drawing parameter θ=ϕ=π/2\theta=\phi=\pi/2.
Refer to caption
Figure 4: (Color online) (a) The IPRη varies with Trotter number η\eta, the drawing parameters are N=15,NT=80,θ=ϕ=π/2N=15,N_{T}=80,\theta=\phi=\pi/2. The red and blue lines represent the ordered and disordered case respectively. The horizontal lines are the average value of IPRη, i.e. IPRave. (b) IPRave as function of the degree of randomness. For a fixed RR, we have 2020 data. The blue line is the average value of the 2020 data, and error bar is the variance. (c) The physical quantity PtP_{t} is plotted in disordered configuration. (d) The probability distribution of spin excitation when η=10\eta=10. (c) and (d) share the same legend.

In this section, the propagation of the spin excitation through controlled-RxR_{x} gates is investigated. In the previous section, the spin excitation is created by a NOT gate and propagated through the XY gate. Here, we study the behavior of the spin excitation propagating through the controlled-RxR_{x} gates. The controlled-RxR_{x} gate is expressed as

UCRx=|00|I+|11|eiθσx/2,U^{CR_{x}}=\left|0\right\rangle\left\langle 0\right|\otimes I+\left|1\right\rangle\left\langle 1\right|\otimes e^{-i\theta\sigma_{x}/2}, (17)

the matrix representation of UCRxU^{CR_{x}} is shown in Fig. 1(c). Consider the situation that a spin excitation on the first qubit passes through a controlled-RxR_{x} gate, we get the following equation

UCRx|10=cosθ2|10isinθ2|11.U^{CR_{x}}\left|10\right\rangle=\cos\frac{\theta}{2}\left|10\right\rangle-i\sin\frac{\theta}{2}\left|11\right\rangle. (18)

The above equation indicates that after passing through a controlled-RxR_{x} gate, the spin excitation becomes a two-qubit entangled state. From the view point of propagation of the bit-flip error, this indicates that the controlled-RxR_{x} gate can transform a single-qubit error to a multi-qubit error. We take the four-qubit circuit in Fig. 3(a) as a example to study the behavior of spin excitation propagating through controlled-RxR_{x} gates under the discrete-time evolution with a large step size. We observed the probability of finding the spin excitation on the 44th qubit and denote the probability as P0001P_{0001}. In Fig. 3(b), P0001P_{0001} shows two resonant peaks, the distance between the two resonant peaks is changed as the ϕ\phi varies. This indicates that even if the spin excitations are propagated by the controlled-RxR_{x} gate, when the step size is large we can qualitatively observe the resonance phenomenon that occurs in the continuous-time limit.

4 Localization for large Trotter step size

In this section, we study whether the localization can be observed in the discrete-time evolution when the Trotter step size is large. We still study the transverse field XY model, but the parameters of a layer of UZU^{Z} (i.e. a layer of single-qubit RzR_{z} gates) are random. We compare the probability distribution of the spin excitation in different configurations of the parameters of a layer of RzR_{z} gates. The stronger the randomness of the parameters, the higher the localization of the distribution of the spin excitation, which means higher the probability of observing the spin excitation near a specific qubit. In this study, the propagation of the bit-flip error (i.e. an unwanted NOT gate) is similar to the transport of the spin excitation. Therefore, the localization indicates that the bit-flip error may be localized near a specific qubit and may not affect the measurement on distant qubits.

The localization phenomenon is studied[52, 53, 54, 55, 56] during the discrete-time evolution with a large step size. We begin with the Hamiltonian in Eq. (1) with Jj=JJ_{j}=J. For convenience the parameters are defined as Jτ=θ,Vjτ=ϕj.J\tau=\theta,V_{j}\tau=\phi_{j}. For the purpose of investigating localization, one layer of parameters for UZU^{Z} in Eq. (2) is {ϕj\phi_{j}}\equiv{ϕ1,ϕ2,ϕ3,ϕ4,\phi_{1},-\phi_{2},\phi_{3},-\phi_{4},\cdots}, where ϕj=ϕ+rj\phi_{j}=\phi+r_{j}, rj[Rr_{j}\in[-R, R]R] is a random number. {ϕj\phi_{j}} is the same for each layer of UZU^{Z}. {ϕj\phi_{j}} is ordered (periodic) configuration when R=0R=0 and disordered configuration when R>0R>0. The inverse participation ratio [57] (IPR) is a measure of localization and defined as

IPRη=i=1N|Pi(η)|4,IPR_{\eta}=\sum_{i=1}^{N}|P_{i}(\eta)|^{4}, (19)

where

Pi(η)\displaystyle P_{i}(\eta) =\displaystyle= i|ψ(η),\displaystyle\left\langle i\right.\left|\psi(\eta)\right\rangle,
|ψ(η)\displaystyle\left|\psi(\eta)\right\rangle =\displaystyle= (j=1N1Uj,j+1XY(θj)j=1NUjZ(ϕj))η|ψ(0).\displaystyle(\prod_{j=1}^{N-1}U_{j,j+1}^{XY}(\theta_{j})\prod_{j=1}^{N}U_{j}^{Z}(\phi_{j}))^{\eta}\left|\psi(0)\right\rangle. (20)

|ψ(η)\left|\psi(\eta)\right\rangle represents the quantum state at the η\etath Trotter step, Pi(η)P_{i}(\eta) represents the corresponding amplitude at the iith qubit. In general, IPRη varies from 1/N1/N (system size) to 11 and a large value of IPRη means a stronger localization effect. The localization of |ψ(η)\left|\psi(\eta)\right\rangle changes with η\eta, thus the average IPR is introduced to character the average level of localization during the whole discrete-time evolution[42],

IPRave=1NTη=1NTIPRη.IPR_{ave}=\frac{1}{N_{T}}\sum_{\eta=1}^{N_{T}}IPR_{\eta}. (21)

In Fig. 4(a), we plot IPRηIPR_{\eta} (the solid lines) as function of η\eta for the ordered (R=0R=0) and disordered (R=π/2R=\pi/2) configuration respectively. The drawing parameters are N=NT=80,θ=ϕ=π/2N=N_{T}=80,\theta=\phi=\pi/2. IPRηIPR_{\eta} for both the ordered (the red lines) and disordered (the red lines) configuration show a periodic-like behavior and is larger than 1/N1/N, which means |ψ(η)\left|\psi(\eta)\right\rangle exhibits localization effect in both cases. However, the average value (the horizontal line), i.e. IPRaveIPR_{ave}, of the blue line is larger than the red line, and the peaks of the blue line are closer to 11. This indicates stronger localization in the disordered case. Furthermore, in Fig. 4(b), we show the IPRaveIPR_{ave} varying with the degree RR of the randomness. With the increase of disorder, the localization becomes stronger.

In this study, the propagation of the bit-flip error (i.e. an unwanted NOT gate) is similar to the transport of the spin excitation, thus the localization implies that single bit-flip error propagated by disordered {UjZ(ϕj)U_{j}^{Z}(\phi_{j})} does not affect the measurement on a distant qubit. To illustrate this point, we propose a physical quantity Ptqi=2N/3NpqiP_{\mathrm{t}}\equiv\sum_{q_{i}=2N/3}^{N}p_{q_{i}} which is the average probability of finding the spin excitation on the last third of the qubits, where pqip_{q_{i}} denotes the probability of finding the error on the iith qubit. The smaller the PtP_{\mathrm{t}}, the shorter the distance the spin excitation travels. As shown in Fig. 4(c), PtP_{\mathrm{t}} is lower when ri0r_{i}\neq 0, which demonstrates that only a little probability is propagated to the last several qubits. PtP_{\mathrm{t}} is almost vanishing as the degree of randomness keeps increasing. In Fig 4(d), we plot pqip_{q_{i}} at η=10\eta=10. As we can see, more probabilities are propagated to the last few qubits for ri=0r_{i}=0 and are localized at the first few qubits for ri0r_{i}\neq 0. Figure 4(d) also show that the greater the degree of randomness, the stronger the localization phenomenon. Above results indicates that the measurement is almost unaffected by the bit-flip error on the first qubit for ri0r_{i}\neq 0.

The above conclusion still holds if XY gates in the circuit are replaced by controlled-RxR_{x}. As shown in Fig. 3(c), PtP_{t} grows with the increasing Trotter steps. However, PtP_{\mathrm{t}} becomes lower when the random perturbation is applied to a layer of RzR_{z} gates, which means less probabilities are propagated to the end of the circuit. With the increasing degree of disorder, the inhibiting effect is more significant. In Fig. 3(d), we plot the probability distribution of spin excitation when η=10,θ=ϕ=π/2\eta=10,\theta=\phi=\pi/2. These results show that, with a strong randomness of {ϕj\phi_{j}}, the spin excitation will not be propagated to the farther qubits. At the same time, this also shows that the randomness of the parameters will inhibit the propagation of the bit-flip error and protect the measurement on the distant qubits is not affected.

5 Conclusions

We study the transport of the spin excitation in the discrete-time evolution using Trotter circuits with a large step size, and qualitatively observe the quantum phenomena in the continuous-time limit, i.e. the resonant tunneling and localization. We observe the resonance phenomenon during the transport of the spin excitation in systems of sizes N=2,3,4,5N=2,3,4,5 respectively. The probability distribution of spin excitations propagating through several Trotter steps agree qualitatively with that in the continuous-time limit. The corresponding minimum number of Trotter steps is given for each system size. In a Trotter circuit with random parameters of RzR_{z} gates, we can observe the localization phenomenon of the spin excitation distribution even with a large step size. We study the spin excitation propagating through the XY gates and also through the controlled-RxR_{x} gates. Our research indicates that a discrete-time quantum simulator with a large step size can qualitatively demonstrate some physical phenomena in the continuous-time limit. Qualitative observations require fewer quantum gates than quantitative calculations and therefore are a promising application on near-term quantum computers. In quantum computing, some errors, such as bit-flip errors, behave like spin excitations, thus, our finding can be used to understand the propagating of these errors in the quantum circuits.

I am grateful to Ying Li for the discussions and help in preparing the manuscript. This work is supported by the National Natural Science Foundation of China (Grants No. 11875050 and No. 12088101), NSAF (Grant No. U1930403), and the Special Fund for Theoretical Physics of the National Natural Science Foundation of China (Grant No. 12047547).

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