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Single electron routing in a silicon quantum-dot array

Takeru Utsugi [email protected] Research & Development Group, Hitachi, Ltd., Kokubunji, Tokyo 185-8601, Japan    Takuma Kuno Research & Development Group, Hitachi, Ltd., Kokubunji, Tokyo 185-8601, Japan    Noriyuki Lee Research & Development Group, Hitachi, Ltd., Kokubunji, Tokyo 185-8601, Japan    Ryuta Tsuchiya Research & Development Group, Hitachi, Ltd., Kokubunji, Tokyo 185-8601, Japan    Toshiyuki Mine Research & Development Group, Hitachi, Ltd., Kokubunji, Tokyo 185-8601, Japan    Digh Hisamoto Research & Development Group, Hitachi, Ltd., Kokubunji, Tokyo 185-8601, Japan    Shinichi Saito Research & Development Group, Hitachi, Ltd., Kokubunji, Tokyo 185-8601, Japan    Hiroyuki Mizuno Research & Development Group, Hitachi, Ltd., Kokubunji, Tokyo 185-8601, Japan
Abstract

The ability to transport single electrons on a quantum dot array dramatically increases the freedom in designing quantum computation schemes that can be implemented on solid-state devices. So far, however, routing schemes to precisely control the transport paths of single electrons have yet to be established. Here, we propose a silicon single-electron router that transports pumped electrons along the desired route on the branches of a T-shaped quantum dot array by inputting a synchronous phase-controlled signal to multiple gates. Notably, we show that it is possible to achieve a routing accuracy above 99% by implementing assist gates in front of the branching paths. The results suggest new possibilities for fast and accurate transport of single electrons on quantum dot arrays.

I Introduction

Toward large-scale quantum computations, field programmable qubit arrays (FPQAs), analogous to the classical field programmable gate array (FPGA) [1], have been realized in the form of trapped ion or neutral-atom qubit arrays [2, 3, 4, 5]. In these quantum processors, qubits are spatially transported with high controllability. Similarly, for quantum computers based on large-scale quantum dot (QD) arrays in solid-state devices [6, 7], the technology for transporting single electrons, acting as a qubit, to an arbitrary QD on the two-dimensional array is promising to dramatically improve the freedom in designing quantum computation schemes for QD arrays [8, 9, 10, 11, 12].

One of the key components is the single-electron router that programmatically controls the electron transport pathway. So far, there are two approaches to routing electrons in solid-state devices, i.e., passive and active  [13, 14]. Passive approaches, e.g., a quantum point contact [15, 16, 17, 18] or a static potential barrier [19], have been used in studies on electron quantum optics. Alternatively, tunnel-coupled wires can be used to control the paths of flying electron qubits with surface acoustic waves  [20, 21, 22]. Although these passive electron-path control techniques have attracted much attention, programmable routing is a nontrivial issue with these techniques. On the other hand, an active approach that is suitable for programmable single-electron routing is the time-gating technique [23]. This technique controls the electron route by synchronizing a potential barrier with the single-electron source. In fact, it has led to outstanding achievements in studies on single-electron transport, e.g., by enabling analyzes of single-electron wave packets and phonon emissions by using quantum Hall edge states in devices based on GaAs with strong magnetic fields [23, 24, 25, 26, 27, 28]. So far, however, these technologies have not been applied to QD arrays.

Inspired by the time-gating technique [23, 28], we developed a single-electron router on a two-dimensional QD array in silicon, where we utilized a tunable barrier single-electron pump (SEP) [29, 30, 31, 32, 33, 34] constructed on the QD array as a single-electron source. In this paper, we first describe a SEP operating at 100 MHz based on the previous study [35]. Then, we program a single-electron train periodically emitted from the SEP into the right and left paths in the branches ahead, and the single-electron routing operation was achieved by inputting synchronous signals to multiple gates in the QD array. We note that electrons tend to stagnate in silicon QD arrays, which do not have a driving force for electrons like Hall edge channels have and must be driven for proper transport. We show the importance of an assist gate just before the branching path. Namely, the additional signal applied to the assist gate boosts the accuracy of the electron transport timing and improves the routing signal. Next, we describe a demonstration of reliable routing of electrons at rates up to 100 MHz. We also describe a method for evaluating the performance of the single-electron router. Conditions for stable operation and operating voltage margins are discussed, and the conclusion is that the single-electron router is on the verge of practical application. We consider that the single-electron router can be applied not only to electron loading [36, 37] or spin shuttling [38, 39, 40, 41, 42, 43] in large-scale two-dimensional QD arrays [44, 45, 46, 47, 48, 49], but also to current standards based on SEP that use error detection and correction to improve SEP performance  [50, 51, 52, 53, 54, 55, 56].

II Device and experimental setup

Figure 1(a) shows a schematic diagram of the device configuration used in our study. This device is fabricated with a fully depleted silicon-on-insulator (SOI) wafer and has a T-shaped intrinsic Si channel (green) [57]. The Si channel has three terminals (yellow): the source and the drains on the right and left sides. Three layers of gate electrodes are formed above the Si channel. e.g., first gates (FG0-FG3, blue), second gates (SG1-SG3 and SGS, orange), and third gates (TG1 and TG2, purple). The second gates are formed by the self-aligned patterning process used to make the first gates, and the third gates are formed by the self-aligned patterning process for the second gates. Figure 1(b) and 1(c) show TEM images in cross-sectional views of the device shown in Fig. 1(a). Table 1 lists the device parameters [57].

Refer to caption
Figure 1: Device configuration: (a) Schematic diagrams of the T-shaped device and the measurement setup and TEM images of (b) the A-A’ cross-section and (c) B-B’ cross-section shown in (a).
Table 1: Device parameters.
FG1-3 SG1-3 TG1,2
ToxT_{\rm{ox}} 5 nm 15 nm 15 nm
WW 50 nm 50 nm 50 nm
LL 80 nm 50 nm 200 nm
TSOIT_{\rm{SOI}} 50 nm 50 nm 50 nm
TBOXT_{\rm{BOX}} 145 nm 145 nm 145 nm
Gate B-doped P-doped P-doped
Channel Non-doped Si

The experimental setup is also schematically shown in Fig 1(a). Note that all measurements were performed at 44 K. Electrons are sent from the source to the right or left drain, where the bias voltages between the source, right drain, and left drain are set to 0 V in the single-electron routing operation. The currents are measured with a source-measure unit connected to the source, right, and left drains. The voltages applied to the gates are generated by an arbitrary waveform generator. Three gates, FG1, SG2, and FG2, are used as a SEP: inputting an RF signal to FG1 periodically extracts a single electron from the source, whereas SG2 and FG2 are used as adjustment knobs of the SEP operation. Here, to act as extensions of the source electrode, gates FG0 and SG1 are set to turn-on by applying 2 V. Gates TG1 and TG2 are used as switching gates in a time-gating manner; these are a pair of shutters that select the electron transport path on the branching path of the T-shaped Si channel. The signals are synchronized to the same frequency as the SEP. The phases of the input signals to TG1 and TG2 are inverted so that one is closed when the other is open. In addition, gate FG3 is used as an assist gate to assist the routing operation, as described below. Gate SG3 is set to appropriate voltages to form the electron pathway. The applied voltage to the gate SGS is adjusted so that no current flows from the right drain to the left drain or vice versa.

RF sinusoidal signals of the same frequency are input to FG1 for the SEP, TG1 and TG2 for the switching gates, and FG3 for the assist gate. Single-electron routing operation is achieved by adjusting the RF input phase to each gate, where bias tees are used for applying both DC and RF voltages in FG1, FG3, TG1, and TG2. These voltages are written as Vk(t)=VkDC+VkRFcos(2πftϕk)V_{k}(t)=V_{k}^{\rm{DC}}+V_{k}^{\rm{RF}}\cos(2\pi ft-\phi_{k}) (k{Pump,Assist,L,R}k\in\{\rm{Pump,Assist,L,R}\}), where VkDCV_{k}^{\rm{DC}}, VkRFV_{k}^{\rm{RF}}, ϕk\phi_{k}, ff, and tt are DC voltages, AC amplitudes, initial phase, frequency, and time, respectively. DC voltages VlV_{l} (l{FG0,SG1,SG2,FG2,SG3,SGS}l\in\{\rm{FG0,SG1,SG2,FG2,SG3,SGS}\}) are applied to the other gates. Table 2 lists the threshold voltages VthV_{\rm{th}} of all the gates as estimated from the I-V curves.

Table 2: Threshold voltages of gates. VthV_{\rm{th}} is the voltage at which the drain current exceeds 1 nA. In gates FG0-3 and SG1-3, VthV_{\rm{th}} was measured when the bias voltage between the source and left drain was set to 50 mV, the right drain was set to open, and the other gates were set to turn-on by applying 2 V. In gates SGS, TG1, and TG2, the bias voltage between the right and left drain was set to 50 mV, the source was set to open, and the other gates were set to 0 V.
Gate FG0 SG1 FG1 SG2 FG2 SG3 FG3 SGS TG1 TG2
VthV_{\rm{th}} (V) 1.39 1.46 1.59 0.36 1.55 0.55 1.56 0.25 1.74 1.35

III Characteristics of single-electron pump, assist gate, and switching gates

First, we evaluated the characteristics of the SEP that were described in the previous study [35]. Figure 2(a) shows the pump current as a function of DC voltage at gates FG1 and FG2. The electrons flowed from the source to the left drain by setting the right drain to open and the other gates to turn on by 2 V. The left drain current, denoted as IDLI_{\rm{DL}}, is normalized by efef in this figure since the pump current is efef, where ee is the elementary charge, and ff is the operating frequency. We set the operating frequency to f=100f=100 MHz in consideration that the cutoff frequency of the input signal to the FG1 is about 250250 MHz. The frequency characteristics of the RF signal input to FG1 and pumped currents are shown in Appendix A. The DC voltage for SG2 and the AC amplitude for FG1 were set to VSG2=1.1V_{\rm{SG2}}=-1.1 V and VPumpRF=1.1V_{\rm{Pump}}^{\rm{RF}}=1.1 V, respectively. By setting the DC voltage of FG1 to VPumpDC=0.76V_{\rm{Pump}}^{\rm{DC}}=0.76 V (white dashed line), a single electron plateau appeared as shown in Fig. 2(b). The red line in Fig. 2(b) shows the best-fit result by the decay-cascade model [31, 58, 33, 34] with

IDLef=i=1,2exp[exp(αVFG2+Δi)],\frac{I_{\rm{DL}}}{ef}=\sum_{i=1,2}\exp\left[-\exp(-\alpha V_{\rm{FG2}}+\Delta_{i})\right], (1)

where the best values of the fitting parameters are Δ1=32.5\Delta_{1}=32.5, Δ2=41.7\Delta_{2}=41.7, and α=42.2V1\alpha=42.2~{}\rm{V}^{-1}. The parameter δ2Δ2Δ1=9.2\delta_{2}\equiv\Delta_{2}-\Delta_{1}=9.2 gives a figure-of-merit directly related to the minimum error rate of the SEP, PerrorPumpP_{\rm{error}}^{\rm{Pump}} [34]. We estimated the minimum error rate to be PerrorPump=δ2exp(δ2)9.3×104P_{\rm{error}}^{\rm{Pump}}=\delta_{2}\exp(-\delta_{2})\approx 9.3\times 10^{-4}, i.e., below 0.1%, which is good enough for demonstrating the single-electron router. Then we evaluated the stability of the SEP operation over the course of 28 hours and found that the error rate was 0.14%, as shown in Appendix B. This result is also good enough for the experiment on the single electron router. Hereafter, we set the voltage of gates FG1, SG2, and FG2 to the conditions for operating the SEP described above.

Refer to caption
Figure 2: Evaluation of the SEP. (a) Current map as a function of DC voltage at gates FG1 and FG2. (b) Single-electron plateau observed in the cross-section of the white dashed line in (a), where VPumpDC=0.76V_{\rm{Pump}}^{\rm{DC}}=0.76 V. The red line shows a fit by the decay-cascade model and the inset shows a schematic diagram of the SEP.

Next, we evaluated the characteristics of the assist gate, which assists in routing the electrons. We drove the SEP at 100 MHz, as indicated above, and measured the dependence of the pumped current on the DC voltage applied to FG3. The results are shown in Fig. 3. It was found that the pumped electrons are blocked when the FG3 voltage is approximately 0.5 V or lower and that electrons are transmitted when the FG3 voltage is higher than 1.0 V. The presence of blocking electrons indicates that the pumped electrons flow backward after pumping (see the diagram in Fig. 3). These results suggest that the voltage range sufficient to change the electron behavior with FG3 is on the order of 0.1 V.

Refer to caption
Figure 3: DC characteristics of assist gate FG3 for a 100-Hz SEP and the schematic diagram of (upper) blocking and (lower) transmission of electrons.

Then, we evaluated the characteristics of the switching gates. Figure 4(a) is a contour map of the difference between pumped currents flowing from the SEP to the left drain IDLI_{\rm{DL}} and right drain IDRI_{\rm{DR}} as a function of the voltages VLDCV_{\rm{L}}^{\rm{DC}} and VRDCV_{\rm{R}}^{\rm{DC}} applied to gates TG1 and TG2, respectively. The voltages of all the gates except for the SEP and the switching gates were set to 2 V, i.e., to turn them on. In the region where VDLDCV_{\rm{DL}}^{\rm{DC}} (VDRDCV_{\rm{DR}}^{\rm{DC}}) is lower than about 0 V, the electron energy at the switching gates is lower than the potential barriers of the switching gates, resulting in that the pumped electrons flow backward after pumping. On the other hand, when VDLDCV_{\rm{DL}}^{\rm{DC}} (VDRDCV_{\rm{DR}}^{\rm{DC}}) exceeds about 0 V, the dependence of the current on the left or right drain changes abruptly, indicating that electrons flow toward the lower potential in an almost deterministic manner [see the insets in Fig. 4(a)]. Therefore, it is possible to control which direction electrons are sent by adjusting the heights of the potentials by switching gates TG1 and TG2.

Fig. 4(b) shows cross-sections along the potential detuning Δ\Delta between gates TG1 and TG2, which is shown as the yellow dashed line in Fig. 4(a). In the region around this line, the electron energy is higher than the potential barriers of the switching gates. Considering the broadening σ\sigma due to gate voltage noise or energy broadening of electrons, we decided to fit the experimental data as a function of Δ\Delta in Fig. 4(b) with a non-ideal step (Fermi-Dirac-like) function  [24]:

T(Δ)=1exp(Δ/σ)+1.T(\Delta)=\frac{1}{\exp(-\Delta/\sigma)+1}. (2)

These characteristics of the electron transport are consistent with typical transmission probability of the single-electron partitioning measurements in two transport channels [23, 19, 21]. Since the experimental data are well fitted by T(Δ)T(\Delta), we took T(Δ)T(\Delta) to be the transmission probability of the electrons.

Refer to caption
Figure 4: DC characteristics of switching gates TG1 and TG2 for a 100-MHz SEP. (a) Contour map of the difference between pumped currents flowing from the SEP to the left drain and right drain (IDRIDL)/ef(I_{\rm{DR}}-I_{\rm{DL}})/ef as a function of the voltages VLDCV_{\rm{L}}^{\rm{DC}} and VRDCV_{\rm{R}}^{\rm{DC}}. The insets are schematic diagrams of switching the electron routes. (b) Currents IDLI_{\rm{DL}}, IDRI_{\rm{DR}}, and ISI_{\rm{S}} as a function of the potential detuning Δ\Delta shown by the yellow dashed line in (a), where VLDC=1.1ΔV_{\rm{L}}^{\rm{DC}}=1.1-\Delta (V) and VRDC=0.97+ΔV_{\rm{R}}^{\rm{DC}}=0.97+\Delta (V). The black lines are fits using the non-ideal step function shown in Eq. (2) with σ=5.2\sigma=-5.2 mV for IDLI_{\rm{DL}} and σ=+5.2\sigma=+5.2 mV for IDRI_{\rm{DR}}.

IV Operating condition

The electron flow of the proposed routing scheme is shown in Fig. 5. We controlled the phases of the RF sinusoidal signals input to gates FG1, FG3, TG1, and TG2, i.e., ϕPump\phi_{\rm{Pump}}, ϕAssist\phi_{\rm{Assist}}, ϕL\phi_{\rm{L}}, and ϕR\phi_{\rm{R}}, respectively. ϕL\phi_{\rm{L}} and ϕR\phi_{\rm{R}} were inverted, i.e., ϕR=ϕL+π\phi_{\rm{R}}=\phi_{\rm{L}}+\pi (rad), so that the switching gates would operate as a switch of routes. We set DC voltages to VSG3=0.5V_{\rm{SG3}}=0.5 V and VAssistDC=2.0V_{\rm{Assist}}^{\rm{DC}}=2.0 V. VSGSV_{\rm{SGS}}, VLDCV_{\rm{L}}^{\rm{DC}} and VRDCV_{\rm{R}}^{\rm{DC}} were set to around 0 V; these voltages were sensitive to experimental disturbances and were adjusted by a few tens of mV to ensure proper routing for each measurement. We also set the AC amplitudes to VLRF=VRRF=0.5V_{\rm{L}}^{\rm{RF}}=V_{\rm{R}}^{\rm{RF}}=0.5 V.

Refer to caption
Figure 5: Schematic diagram of potentials in the proposed single-electron routing scheme. RF sinusoidal signals of 100 MHz were applied to FG1, TG1, TG2, and FG3. The phases of the switching gates were inverted:ϕR=ϕL+π\phi_{\rm{R}}=\phi_{\rm{L}}+\pi (rad).

The single-electron routing characteristics without and with RF signal input to the assist gate (unassisted and assisted cases) are compared in Figs. 6(a) and 6(b). In the assisted case, the amplitude and the phase of the input RF signal were set to 0.1 V and 0 radians (in-phase) relative to the SEP. Since the sum of IDLI_{\rm{DL}} and IDRI_{\rm{DR}} equals the source current IS-I_{\rm{S}} in both cases, the electrons flow to either the right drain or the left drain without a backward flow. The currents IDLI_{\rm{DL}} and IDRI_{\rm{DR}} vary with the phase difference between the SEP and the switching gate in both cases. This fact suggests that the route of the pumped electrons is selected to be either the right drain or the left drain by controlling the phase of the switching gate synchronized with the SEP. However, in the unassisted case shown in Fig. 6(a), the modulation of the routing is relatively low. That is, the peaks of IDLI_{\rm{DL}} and IDRI_{\rm{DR}} are low, indicating that deterministic routing is not achieved. In contrast, the modulation of the routing is more significant in the assisted case shown in Fig. 6(b). Therefore, deterministic routing is achieved by the RF signal input to the assist gate. Note that the phases of the current curves IDRI_{\rm{DR}} or IDLI_{\rm{DL}} in the unassisted and assisted cases are inverted, the reason for which is discussed below.

Refer to caption
Figure 6: Single-electron routing characteristics (a) unassisted and (b) assisted by the RF signal input to the assist gate. The left drain current IDLI_{\rm{DL}} (blue), the right drain current IDRI_{\rm{DR}} (red), and the source current ISI_{\rm{S}} (gray) are plotted as functions of the phase difference between the SEP and switching gates ϕPumpϕL\phi_{\rm{Pump}}-\phi_{\rm{L}}, where the phase of the switching gates is set to ϕR=ϕL+π\phi_{\rm{R}}=\phi_{\rm{L}}+\pi (rad). In (b), the amplitude is set to VAssistDC=0.1V_{\rm{Assist}}^{\rm{DC}}=0.1 V and the phase of the input signal applied to the assist gate is in-phase with the SEP, i.e., ϕAssist=ϕPump\phi_{\rm{Assist}}=\phi_{\rm{Pump}}. The black lines and insets show a fit and the best-fit result of AA by the model curve on the final line of Eq. (4), corrected for offset.

Now let us examine the current characteristics in the single-electron router based on the model of electron transport in the time-gating technique [28]. The basic model of the single-electron router is described as

IDLef=W(E,t)T(E,t)𝑑E𝑑t,\frac{I_{\rm{DL}}}{ef}=\iint W(E,t)T(E,t)dEdt, (3)

where W(E,t)W(E,t) is the Wigner quasiprobability function in the energy-time (EE-tt) space of the electron arriving at the switching gates, and T(E,t)T(E,t) is the energy- and time-dependent transmission probability of the barriers controlled by the switching gates. Our model assumes no energy broadening of electrons, i.e., W(E,t)=δ(EEp)P(t)W(E,t)=\delta(E-E_{\rm{p}})P(t), where EpE_{\rm{p}} is the energy of an electron at the switching gates, and P(t)P(t) is the distribution of the electron emission times at the switching gates, the so-called jitter of electron transport. Furthermore, we assume that P(t)P(t) is a Gaussian distribution, P(t)=12πξexp[(tt0)22ξ2]P(t)=\frac{1}{\sqrt{2\pi}\xi}\exp\left[-\frac{(t-t_{0})^{2}}{2\xi^{2}}\right], where t0t_{0} and ξ\xi are the average and standard deviation of the electron’s arrival time, respectively. The transmission probability T(E,t)T(E,t) is basically given by Eq. (2). Here, we assume that the electron energy is sufficiently higher than the potential barriers of the switching gates. Accordingly, the detuning Δ\Delta in Eq. (2) can be written as a time-dependent but electron-energy-independent function, Δ(t)=V0cos(2πftϕL)\Delta(t)=V_{0}\cos(2\pi ft-\phi_{\rm{L}}), where V0V_{0} is a constant value reflecting the difference between the input amplitudes of the switching gates. From these assumptions, considering one period τ=1/f\tau=1/f and t0=τϕ/(2π)t_{0}=\tau\phi/(2\pi) where ϕ\phi is the phase reflecting the timing of the electron transport to the switching gate, we can rewrite Eq. (3) as

IDLef=W(E,t)T(E,t)𝑑E𝑑tδ(EEp)P(t)T(E,t)𝑑E𝑑t=0τP(t)T(Ep,t)𝑑t=12πξ0τexp[(tτϕ2π)22ξ2]exp[V0σcos(2πftϕL)]+1𝑑t1exp[Acos(ϕϕL)]+1,\begin{split}\frac{I_{\rm{DL}}}{ef}&=\iint W(E,t)T(E,t)dEdt\\ &\approx\iint\delta(E-E_{p})P(t)T(E,t)dEdt\\ &=\int_{0}^{\tau}P(t)T(E_{\rm{p}},t)dt\\ &=\frac{1}{\sqrt{2\pi}\xi}\int^{\tau}_{0}\frac{\exp\left[-\frac{\left(t-\frac{\tau\phi}{2\pi}\right)^{2}}{2\xi^{2}}\right]}{\exp\left[-\frac{V_{0}}{\sigma}\cos(2\pi ft-\phi_{\rm{L}})\right]+1}dt\\ &\approx\frac{1}{\exp\left[A\cos(\phi-\phi_{\rm{L}})\right]+1},\end{split} (4)

where AA is a constant value that reflects the single-electron router’s performance, involving the router’s signal-to-noise ratio and the jitter of electron transport at the switching gates. The approximation on the fifth line in Eq. (4) holds in our experimental situation (this is shown in Appendix D). On the fourth line in Eq. (4), |V0/σ||V_{0}/\sigma| indicates the signal-to-noise ratio of the single-electron router, since V0V_{0} is proportional to the input voltage amplitude and σ\sigma is proportional to the voltage noise of switching gates (we assumed no energy broadening of electrons). For example, in the no jitter case, i.e., ξ0\xi\rightarrow 0, P(t)P(t) becomes a delta function, P(t)=δ(tt0)P(t)=\delta(t-t_{0}). In this case, A=V0/σA=-V_{0}/\sigma is straightforwardly derived. In addition, by flipping the sign of AA, we can derive a similar form for IDRI_{\rm{DR}}. The experimental data on IDLI_{\rm{DL}} and IDRI_{\rm{DR}} as a function of the phase difference ϕϕL\phi-\phi_{\rm{L}} can be fitted by the final approximation in Eq. (4) with the fitting parameter AA. Therefore, we can evaluate the routing performance by using the fitting results of AA.

The absolute value of the parameter, |A||A|, directly reflects the minimum error rate. When ϕPumpϕL=π\phi_{\rm{Pump}}-\phi_{\rm{L}}=\pi and A>0A>0, IDLI_{\rm{DL}} takes the maximum value of ef/(1+eA)ef/(1+e^{-A}). Accordingly, the minimum error rate of the single-electron router PerrorRouterP_{\rm{error}}^{\rm{Router}} can be evaluated as PerrorRouter=1/(1+e|A|)P_{\rm{error}}^{\rm{Router}}=1/(1+e^{|A|}). Namely, a larger value of |A||A| lowers the routing error; for example, |A|>4.6|A|>4.6 (|A|>6.9|A|>6.9) is required to achieve an error rate of less than 1% (0.1%).

Best fit results are also shown in Fig. 6, where the current curves are fitted by Eq. (4) with ϕ=ϕPump\phi=\phi_{\rm{Pump}} correcting for the offset and the parameter AA is obtained for IDLI_{\rm{DL}} (IDRI_{\rm{DR}}) as ALA_{\rm{L}} (ARA_{\rm{R}}). The result that the parameters |AL||A_{\rm{L}}| and |AR||A_{\rm{R}}| in the assisted case are larger than in the unassisted case confirms that the error rate of routing can be reduced by the RF signal input to the assist gate. Furthermore, the results in the assisted case are |AL|=6.4|A_{\rm{L}}|=6.4 and |AL|=5.8|A_{\rm{L}}|=5.8, which are larger than 4.64.6, so it is possible to achieve a routing accuracy of above 99% by implementing assist gates in front of the branching paths.

To determine which phase of the SEP or the assist gate contributes to the routing, Fig. 7(a) shows the contour map of the current difference referenced to ϕL\phi_{\rm{L}} and Figure 7(b) shows the parameter AA obtained by fitting the current curves in the horizontal cross-section in Fig. 7(a), where ϕ=ϕAssist\phi=\phi_{\rm{Assist}}. Here, the amplitude of the RF signal applied to the assist gate was set to 0.1 V. These results show that the routing does not depend on ϕPump\phi_{\rm{Pump}}, but is determined only by ϕAssist\phi_{\rm{Assist}} when an RF signal is input to the assist gate. This fact suggests that the pumped electrons are stored once they come near the assist gate and are pushed out again by the assist gate operation; at that moment, they are sent to the route on the low-potential side. On the other hand, when there is no RF signal input to the assist gate, the electrons are pushed out and routed when the pump injects the next electron because of the Coulomb interaction of the electrons; thus, we can interpret that the phase of the current curves in Fig. 6(a) is inverted.

Refer to caption
Figure 7: Phase dependence of single-electron routing: (a) Contour map of the difference between pumped currents flowing from the SEP to the left drain and the right drain (IDRIDL)/ef(I_{\rm{DR}}-I_{\rm{DL}})/ef as a function of the phase difference between the SEP and the assist gate, where VAssistDC=0.1V_{\rm{Assist}}^{\rm{DC}}=0.1 V. (b) The parameter AA obtained by fitting the current curves in the horizontal cross-section in (a). This result indicates that most of the parameters |AL||A_{\rm{L}}| and |AR||A_{\rm{R}}| are larger than 4.6 (black dashed line), representing PerrorRouterP_{\rm{error}}^{\rm{Router}}=1%; i.e., the routing depends on the phase of the assist gate.

In addition, let us investigate the operating conditions of the assist gates in detail. The routing performance is plotted as functions of the RF amplitude and DC voltage applied to the assist gate in Figs. 8(a,b) and 8(c,d). The amplitude dependence shown in Figs. 8(a,b) indicates that deterministic routing was achieved at an input amplitude of approximately 0.05 V or higher. This result indicates that a potential change of approximately 0.05 V is required for electrons stored near the assist gate to be transported to the right or left drain. This result is also consistent with the sensitivity of the order of 0.1 V required to the potential change at the assist gate shown in Fig. 3. The DC voltage dependence shown in Fig. 8(c,d) indicates that deterministic routing was achieved at approximately 1.4 V or higher. Thus, at lower voltages, it is difficult for electrons to be stored near the assist gate, and as a result, routing by pushing out electrons by changing the voltage of the assist gate does not work. Consequently, by adjusting the operating voltage of the assist gate appropriately, it was found that routing could be controlled by synchronizing the timing of electron transport with the switching gate after the electrons are stored near the assist gate. Hereafter, we set the assist gate voltage to VAssistDC=2V_{\rm{Assist}}^{\rm{DC}}=2 V and VAssistRF=0.1V_{\rm{Assist}}^{\rm{RF}}=0.1 V.

Refer to caption
Figure 8: (a) Current map as a function of the phase difference ϕAssistϕL\phi_{\rm{Assist}}-\phi_{\rm{L}} and the RF amplitude VAssistRFV_{\rm{Assist}}^{\rm{RF}}, where VAssistDC=2.0V_{\rm{Assist}}^{\rm{DC}}=2.0 V. (b) Parameter AA as a function of VAssistRFV_{\rm{Assist}}^{\rm{RF}}, estimated by fitting the horizontal cross-section shown in (a). (c) Current map as a function of the phase difference ϕAssistϕL\phi_{\rm{Assist}}-\phi_{\rm{L}} and the DC voltage applied to the assist gate VAssistDCV_{\rm{Assist}}^{\rm{DC}}, where VAssistRF=0.1V_{\rm{Assist}}^{\rm{RF}}=0.1 V. (d) Parameter AA as a function of VAssistDCV_{\rm{Assist}}^{\rm{DC}}, estimated by fitting the horizontal cross-section shown in (c). The black dashed lines show A=4.6A=4.6 representing PerrorRouterP_{\rm{error}}^{\rm{Router}}=1%.

V Demonstration of single-electron router

Figure 9 shows the results of a demonstration of a programmable single-electron routing operation under the conditions obtained above. The SEP was operated at 100 MHz, and the periodically sent electrons were routed to either the right or left drain. As shown in Appendix C, a symbol sequence of 100 symbols of binary pseudo-random numbers was generated for R and L, and ϕAssist\phi_{\rm{Assist}} with respect to ϕL\phi_{\rm{L}} was set to π\pi for ‘L’ (0 for ‘R’) according to this symbol sequence. The stars (\star) in Fig. 9 represent the programmed symbols; they show that accurate routing was achieved for all 100 symbols. Note that the measurement duration per symbol was set to 2 seconds.

Refer to caption
Figure 9: Current in (a) the left drain and (b) the right drain of the single-electron router with a 100-MHz SEP. The stars (\star) show the programmed symbol. All 100 symbols were accurately routed.

Finally, the high-speed operation of the single-electron router was verified by shortening the duration of one symbol. Since achieving a current measurement time short enough to trace the routing of every single electron is difficult, we adjusted the routing probability of the path-selection pseudo-random number. We measured the ratio of ILI_{\rm{L}} and IRI_{\rm{R}} for 10 seconds per symbol. As shown in Fig. 10, 11 patterns of pseudorandom number sequences with (R:L)=(0:10),(1:9),(2:8),,(10:0)(R:L)=(0:10),(1:9),(2:8),...,(10:0) were generated by varying rr (see Appendix C) from 0 to 1. Fig. 10(a-c) show the results of routing at 1, 10, and 100 MHz, i.e., changing the routing after a 100, 10, and 1 electron period, respectively. They show that the single-electron router worked well at all routing frequencies. Moreover, Fig. 10(c) indicates that each electron was routed individually, as the operating frequencies of the SEP and the routing were the same, 100 MHz. The noise in Fig. 10(c) is slightly larger than in the other figures; the reason is considered to be the high-frequency component of the incident RF signal during the phase change. This issue needs to be resolved to achieve higher accuracy in the future.

Refer to caption
Figure 10: Results of electron routing at (a) 1 MHz, (b) 10 MHz, and (c) 100 MHz. The blue and red plots show IDLI_{\rm{DL}} and IDRI_{\rm{DR}}, respectively. The cyan and magenta stars (\star) show the programmed answer for the ratio of IDLI_{\rm{DL}} and IDRI_{\rm{DR}}.

VI Summary

This study described a single-electron router in a QD array that works with a SEP operating at 100 MHz. It also revealed the importance of the role of the assist gate in front of the branching paths. Possible applications of the single-electron router include the following. (i) Error monitoring for SEP  [50, 51, 52, 53, 54, 56, 59, 60]; when using a SEP as a current standard, a controllable electron branching path is helpful for determining whether the current is produced with the desired accuracy. It allows the current value to be monitored by performing spot checks at a certain time interval, thereby maintaining a stable current standard. (ii) Transporting electrons in a spin-based quantum computer [44, 45, 46, 47, 48, 49]; electron routing can be used for electron transport during the preparation and readout steps of a quantum computer in which electron spins are used as qubits, enabling electron transport to a desired QD on a two-dimensional QD array. (iii) Single-electron splitters or divider [15, 16, 17, 24, 28, 14]; electron routing can be used in electron control elements that split electrons into the desired ratios. Note that whereas an optical beam splitter creates a superposition of photons, a single-electron router separates electrons deterministically. Thus, in contrast to coherent electron beam splitters in electron quantum optics, which are based on the wave nature of single electrons [13, 14, 20, 21, 22], a single-electron router separates electrons incoherently.

In conclusion, we conducted a proof-of-principle experiment on a single-electron router technology that selects a single-electron path by using a tunable barrier SEP in a QD array. We established the theory behind an evaluation of the routing performance and demonstrated the programmable routing of electrons pumped by the SEP by using an assist gate placed just before the electron branching paths. Finally, we investigated high-speed routing control and found that the router could route individual electrons at 100 MHz.

Acknowledgements.
This work was supported by a JST Moonshot R&D grant, no. JPMJMS2065.

Appendix A Frequency dependence of SEP

To determine the operating frequency of the SEP, we evaluated the RF transmission characteristics of gate FG1 as in Ref. [35]. From the RF amplitude dependence of IDLI_{\rm{DL}} shown in Fig. 1(a), we obtained the cutoff frequency of the transmission to FG1 (250 MHz) and determined that a 100-MHz signal could be applied [Fig. 1(b)]. Next, the characteristics of the single-electron plateau were plotted as a function of the driving frequency of the SEP (Fig. 2). In particular, the plateau characteristics were plotted by varying only the driving frequency after setting the optimal voltage conditions at a driving frequency of 100 MHz. The current values were normalized by each driving frequency. Clear plateau characteristics appeared at the positions of the single-electron current IDL=efI_{\rm{DL}}=ef corresponding to each frequency up to about 60 MHz. Below 30 MHz, the plateau characteristics deteriorated, and the deviation of the pumped current values from efef became more noticeable. The reason for this is considered to be the change in the RF amplitude due to the frequency dependence of the transmission loss, as shown in Fig. 1(b).

Refer to caption
Supplementary Fig 1: Frequency dependence of gate FG1. (a) Relation between input RF amplitude VPumpRF,inV_{\rm{Pump}}^{\rm{RF,in}} and the left drain current IDLI_{\rm{DL}} when the bias voltage between the source and the left drain was set to 50 mV, the right drain was opened, and the other gates were set to turn-on by applying 2 V. We also set VPumpDCV_{\rm{Pump}}^{\rm{DC}} = 1.5 V near the VthV_{\rm{th}} of FG1 and ff = 1 MHz. The red curve shows the best-fit result for IDLI_{\rm{DL}} with a quadratic function. (b) Frequency dependence of the estimated RF amplitude VPumpRF,estV_{\rm{Pump}}^{\rm{RF,est}} calculated using the best-fit curve in (a) when the input amplitude was set to VPumpRF,inV_{\rm{Pump}}^{\rm{RF,in}} = 1.5 V. The blue solid curve is the best-fit result for VPumpRF,estV_{\rm{Pump}}^{\rm{RF,est}} with a function V(f)=1.5afbV(f)=1.5-af^{b}, where a=0.0066a=0.0066 and b=0.76b=0.76 are fitting parameters and fc=252f_{\rm{c}}=252 MHz is the cutoff frequency defined by V(fc)=1.5/2V(f_{\rm{c}})=1.5/\sqrt{2}. We used 100 MHz (red dashed line) for the SEP operation in this study.
Refer to caption
Supplementary Fig 2: Frequency dependence of the SEP plateau. The voltage conditions were optimized for the operation frequency of 100 MHz, as shown in Fig. 2(b).

Appendix B Stability of SEP

We evaluated the stability of the SEP operated at 100 MHz. As shown in Fig. 3, the pump current, IDL=efI_{\rm{DL}}=ef, was nearly constant during a continuous measurement lasting 28 hours. The accuracy estimated from the average value of the current was 99.86%, indicating an error of 0.14%. This result was sufficient for evaluating and demonstrating the single-electron router in this study.

Refer to caption
Supplementary Fig 3: Stability evaluation of SEP operating at 100 MHz. The accuracy estimated from the average current IDLI_{\rm{DL}} over 28 hours was 99.86% (an error of 0.14%).

Appendix C Pseudo-random number generation

The pseudo-random number we used to demonstrate the single-electron router, denoted by yny_{n}, was generated with the following recurrence formula: yn=Integer[xn/(m×r)]y_{n}=\rm{Integer}[x_{n}/(m\times r)], where xn+1=mod(axn,m)x_{n+1}=\mod(ax_{n},m). The values (0,1) taken by yny_{n} correspond to the routing paths to the right and left drains (R, L), respectively. In Fig. 9, each parameter was set to x0=4,a=89,m=1993,r=0.5x_{0}=4,a=89,m=1993,r=0.5, and 100 symbols were generated. In addition, as shown in Fig. 10, the parameter rr was varied from 0 to 1 in 11 steps.

Appendix D Validity of the approximation on the final line in Eq. (4)

Here, we numerically show the validity of the relationship described as

IDLef\displaystyle\frac{I_{\rm{DL}}}{ef} =12πξ0τexp[(tτϕ2π)22ξ2]exp[V0σcos(2πftϕL)]+1𝑑t\displaystyle=\frac{1}{\sqrt{2\pi}\xi}\int^{\tau}_{0}\frac{\exp\left[-\frac{\left(t-\frac{\tau\phi}{2\pi}\right)^{2}}{2\xi^{2}}\right]}{\exp\left[-\frac{V_{0}}{\sigma}\cos(2\pi ft-\phi_{\rm{L}})\right]+1}dt
1exp[Acos(ϕϕL)]+1.\displaystyle\approx\frac{1}{\exp\left[A\cos(\phi-\phi_{\rm{L}})\right]+1}. (5)

We calculated the first line in Eq. (5) as a function of ϕ\phi and fit the result with the second line in Eq. (5), where ϕL=0\phi_{\rm{L}}=0. In this calculation, V0/σV_{0}/\sigma and ξ\xi were varied within experimentally reasonable ranges. Fig. 4(a) shows an example of the results, where V0/σ=8V_{0}/\sigma=8, ξ=0.7\xi=0.7, and A=2.6A=2.6. The blue line is the calculation result (labeled by datadata), and the orange line is the fitting curve (labeled by fitfit). Fig. 4(b) shows the results for the fitting parameter |A||A| divided by V0/σV_{0}/\sigma plotted as a function of V0/σV_{0}/\sigma and ξ\xi. This result shows that|A|V0/σ|A|\approx V_{0}/\sigma holds for ξ0\xi\rightarrow 0, as the main text describes. |A||A| decreases by broadening the jitter ξ\xi,. Thus, the reduction in |A||A| reflects broadening of the jitter in the electron transport.

Refer to caption
Supplementary Fig 4: (a) Example of the calculation result, where V0/σ=8V_{0}/\sigma=8, ξ=0.7\xi=0.7, and A=2.6A=2.6. The blue line is the calculation result, and the orange line is the fitting curve. (b) Fitting parameter |A||A| divided by V0/σV_{0}/\sigma plotted as a function of V0/σV_{0}/\sigma and ξ\xi. (c) Maximum fitting error in the same calculation with (b). (d) Fitting error in ϕ=0\phi=0 in the same calculation as (b) and (c).

Fig. 4(c) shows the maximum fitting error for the same calculation as in Fig. 4(b). The fitting error is evaluated by the absolute value of the difference between the calculated curve and the fitting curve. Since the maximum fitting error is less than 5%, where IDL/(ef)I_{\rm{DL}}/(ef)=1=100%, the approximation using Eq. (5) is valid. Furthermore, we investigated the effect of the fitting error on the minimum error rate of the single-electron router PerrorRouterP_{\rm{error}}^{\rm{Router}}. Fig. 4(d) shows the fitting error (datafitdata-fit) in ϕ=π\phi=\pi, which represents PerrorRouterP_{\rm{error}}^{\rm{Router}}. Since the fitting error is positive over the entire map, we find that datafitdata\geq fit. The minimum error obtained from fitfit overestimates the minimum error obtained from datadata; i.e., the actual minimum error is always lower than the evaluation result.

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