Nonadiabatic geometric quantum computation with optimal control on superconducting circuits

Jing Xu , Sai Li , Tao Chen , Zheng-Yuan Xue

Front. Phys. ›› 2020, Vol. 15 ›› Issue (4) : 41503

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Front. Phys. ›› 2020, Vol. 15 ›› Issue (4) :41503 DOI: 10.1007/s11467-020-0976-2
RESEARCH ARTICLE
Nonadiabatic geometric quantum computation with optimal control on superconducting circuits
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Abstract

Quantum gates, which are the essential building blocks of quantum computers, are very fragile. Thus, to realize robust quantum gates with high fidelity is the ultimate goal of quantum manipulation. Here, we propose a nonadiabatic geometric quantum computation scheme on superconducting circuits to engineer arbitrary quantum gates, which share both the robust merit of geometric phases and the capacity to combine with optimal control technique to further enhance the gate robustness. Specifically, in our proposal, arbitrary geometric single-qubit gates can be realized on a transmon qubit, by a resonant microwave field driving, with both the amplitude and phase of the driving being time-dependent. Meanwhile, nontrivial two-qubit geometric gates can be implemented by two capacitively coupled transmon qubits, with one of the transmon qubits’ frequency being modulated to obtain effective resonant coupling between them. Therefore, our scheme provides a promising step towards fault-tolerant solid-state quantum computation.

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nonadiabatic geometric quantum computation / superconducting circuits / optimal control

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Jing Xu, Sai Li, Tao Chen, Zheng-Yuan Xue. Nonadiabatic geometric quantum computation with optimal control on superconducting circuits. Front. Phys., 2020, 15 (4) : 41503 DOI:10.1007/s11467-020-0976-2

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1 Introduction

Recently, constructing the quantum computer based on the quantum mechanical theory, is highly desired, to deal with hard problems. However, quantum systems will inevitably interact with their surrounding environment. On the other hand, the precise quantum manipulation of a quantum system is limited by the precision of controlling the driving fields. Thus, fast and robust quantum manipulation is highly desired. To construct a fault-tolerant quantum computer, topological quantum computation strategy is one of the most exciting advances. However, the realization of an elementary quantum gate there is still an experimental difficulty currently. Notably, geometric phases [1-3] possess the intrinsic character of noise-resilience against certain local noises [4-7], and thus can naturally be used to construct robust quantum gates for constructing a fault-tolerant quantum computer.

Previously, geometric quantum computation (GQC) has been proposed based on adiabatic evolutions. However, adiabatic evolution requires long running time such that quantum state can be ruined by the decoherence effect. To overcome this problem, GQC with nonadiabatic evolutions has been proposed to achieve high-fidelity quantum gates based on both Abelian [8-13] with experimental demonstrations [16-22] and non-Abelian geometric phases [14, 15]. Unfortunately, the existence of systematic errors will devastate the advantage of the robustness of geometric quantum gates [23, 24]. Recently, theoretical [25, 26] and experimental works [27, 28] have been proposed to further enhance the robustness of nonadiabatic non-Abelian geometric quantum gates against the control errors, based on three-level systems, by combining the gate operations with optimal control technique (OCT) [29-34]. However, compared to the non-Abelian case, quantum gates induced from Abelian geometric phases based on two levels are easier to be realized, and the required two-qubit interaction is experimentally accessible.

Therefore, we here propose a fast GQC scheme that can be compatible with OCT on superconducting circuits, to further improve the robustness of the implemented quantum gates against control errors of the driving fields. Superconducting circuits [35-38] have shown the unique merits of the large-scale integrability and flexibility of operations [39-41], and thus are treated as one of the promising platforms for the physical implementation of scalable quantum computation. Meanwhile, a superconducting transmon device can be easily addressed to be a two-level system, i.e., the ground and first excited states {|0〉,|1〉}, which can serve as a qubit and can be operated by a resonant driving microwave field. Thus, arbitrary geometric single-qubit gates in our scheme can be accurately achieved after canceling the leakage to the higher excited states, mainly the second excited state |2〉, by combing with the DRAG correction [42-44]. In addition, a recent experiment [20] shows that the time-dependent effective resonant coupling can be induced in a two coupled superconducting qubits system, and thus our nontrivial geometric two-qubit control-phase gates can also be resonantly realized [45, 46] in a simple experimental setup. Furthermore, by combining with OCT, the robustness of the implemented geometric gates against the static systematic error can be greatly enhanced.

2 Geometric single-qubit gates

In this section, we first explain how to construct arbitrary single-qubit gates on a transmon qubit, based on Abelian geometric phases induced from cyclic evolutions. Then, geometric rotations around the X and Z axes are discussed in detail by faithful numerical simulations with the DRAG correction. Finally, we show that the gate robustness can be further enhanced by combining with OCT.

2.1 Construction of the gates

We consider the construction of arbitrary single-qubit geometric gates in the computation basis S1={|0〉,|1〉}. For a driving Hamiltonian Hd(t) in the S1, assuming ℏ=1 hereafter, its dynamic evolution is governed by the time-dependent Schrödinger equation of

(1)i∂∂t|ψ(t)〉=Hd(t)|ψ(t)〉,

where

(1)|ψ(t)〉=e−if(t)2[cosχ(t)2e−iβ(t)2|0〉+sinχ(t)2eiβ(t)2|1〉]

can be generally defined [30] by two time-dependent angles χ(t) and β(t), and a parameterized phase f(t). Meanwhile, due to the linear character of the time-dependent Schrödinger equation, the orthogonal evolution state

(1)|ψ⊥(t)〉=eif(t)2[−sinχ(t)2e−iβ(t)2|0〉+cosχ(t)2eiβ(t)2|1〉]

of |ψ(t)〉 will also satisfy it. By modulating the parameters of the driving field, the system undergoes a cyclic evolution, and the initial state |ψ(0)〉(|ψ⊥(0)〉) can acquire a global phase γ=[f(0)−f(τ)]/2(−γ) at the final time τ, which consists of a dynamical phase of

(2)γD=−∫0τ〈ψ(t)|Hd(t)|ψ(t)〉dt=12∫0τβ˙(t)sin2χ(t)cosχ(t)dt,

and a geometric phase of

(3)γG=i∫0τ〈ψ˜(t)|ψ˜˙(t)〉dt=12∫0τβ˙(t)cosχ(t)dt,

where |ψ˜(t)〉=eif(t)/2|ψ(t)〉. Therefore, by canceling the dynamical phase, i.e., γD=0, in the global phase at the end of the cyclic evolution, we will obtain a pure geometric evolution. Since the evolution here is not governed by the adiabatic condition, the geometric phases will be induced in a faster way than that of the adiabatic schemes [3]. Especially, when the phase in Hamiltonian is a constant, our scheme will reduce to the conventional non-adiabatic schemes [10, 11]. Then, the final geometric evolution operator in S1 is

(4)U(τ)=eiγ|ψ(0)〉〈ψ(0)|+e−iγ|ψ⊥(0)〉〈ψ⊥(0)|=(cosγ+icosχ0sinγisinγsinχ0e−iβ0isinγsinχ0eiβ0cosγ−icosχ0sinγ)=eiγn⋅σ,

where χ0=χ(0), β0=β(0). It is a rotation around the axis of n=(sinχ0cosβ0,sinχ0sinβ0,cosχ0) by an angle −2γ, from which arbitrary single-qubit gates can be induced.

2.2 Gate implementation

We now proceed to physical implementation of our scheme. As shown in Fig. 1(a), the two lowest levels |0〉 and |1〉 of a single transmon qubit can be resonantly coupled by a microwave field with time-dependent amplitude Ω(t) and phase ϕ(t). Into the interaction picture, neglecting the high-order oscillating terms by the rotating-wave approximation. Then, the Hamiltonian of the system in S1 is

(5)Hd(t)=12(0Ω(t)eiϕ(t)Ω(t)e−iϕ(t)0).

In the following, to let Hd(t) fullfil Eq. (1) at any moment (see Appendix A for details), we can obtain the constraints of parameters as

(6a)f˙(t)=−β˙(t)cosχ(t),

(6b)χ˙(t)=−Ω(t)sin[β(t)+ϕ(t)],

(6c)β˙(t)=−Ω(t)cotχ(t)cos[β(t)+ϕ(t)].

Thus, we find that a target evolution path of the evolution state |ψ(t)〉(|ψ⊥(t)〉) can be determined by designing the parameters Ω(t) and ϕ(t) of the microwave field. For the purpose of constructing arbitrary single-qubit geometric gates, we set a single-loop evolution path by defining the evolution parameters χ(t) and β(t) to fulfill a cyclic evolution, as illustrated in Fig. 1(b). Thus we can inversely determine the parameters Ω(t) and ϕ(t), i.e.,

(7)Ω(t)=−χ˙(t)sin(β(t)+ϕ(t)),ϕ(t)=arctan(χ˙(t)β˙(t)cotχ(t))−β(t).

In addition, we also need to ensure accumulated dynamical phases are zero at the end of cyclic evolution to achieve pure geometric operations.

Specifically, we consider rotations around the X and Z axes as two typical examples in detail. Firstly, to realize the geometric rotation operators around the X axis, we divide a single-loop evolution path into four equal parts, which aims to cancel dynamical phases at the end of cyclic evolution. The shape of χj(t) and initial values of βj(t) in each part are

(8)t∈[0,τ/4]:χ1(t)=π[1+sin2(2πt/τ)]/2,β1(0)=0,t∈[τ/4,τ/2]:χ2(t)=π[1+sin2(2πt/τ)]/2,β2(τ/4)=β1(τ/4)−γ,t∈[τ/2,3τ/4]:χ3(t)=π[1−sin2(2πt/τ)]/2,β3(τ/2)=β2(τ/2),t∈[3τ/4,τ]:χ4(t)=π[1−sin2(2πt/τ)]/2,β4(3τ/4)=β3(3τ/4)+γ,

where the shape of βj(t) is set as βj(t)=−∫f˙j(t)cosχj(t)dt for the jth part with fj(t)=cos2χj(t)/5. Therefore, we can obtain the shape of Ω(t) and ϕ(t) in the different evolution parts according to Eq. (7). Meanwhile, in this setting, the dynamical phase is

(9)γD=12∑j=14∫(j−1)τ/4jτ/4β˙j(t)sin2χj(t)cosχj(t)dt=0,

and the geometric phase is γG=γ due to the saltation of β(t) at the moment of t=τ/4 and t=3τ/4. In this way, the geometric rotation operations eiγσx can be realized.

Similarly, to realize the geometric rotation operators around the Z axis, we divide a single-loop evolution path into only two equal parts, which also aims to cancel dynamical phases at the end of cyclic evolution. The shape of χj(t) and initial values of βj(t) in the each parts are

(10)t∈[0,τ/2]:χ1(t)=πsin2(πt/τ),β1(0)=0,t∈[τ/2,τ]:χ2(t)=πsin2(πt/τ),β2(τ/2)=β1(τ/2)−γ,

where the shape of βj(t) is set to be βj(t)=−∫f˙j(t)cosχj(t)dt for the jth part with fj(t)=[2χj(t)−sin2χj(t)]/5. The shape of Ω(t) and ϕ(t) can also be obtained in the different evolution parts according to Eq. (7). By only the saltation of β(t) at the moment of t=τ/2, the dynamical phase at the end of the cyclic evolution can be eliminated and the pure geometric phase can be accumulated. Therefore, the geometric rotations eiγσz can be realized.

2.3 Gate performance

However, in the practical physical implementation, the effect of decoherence is a non-negligible factor to measure gate performance. Notably, due to the weak anharmonicity of the transmon qubit, here, the DRAG correction [42-44] is also introduced to suppress the leakage error beyond the qubit basis. Considering all effects of decoherence and dominant counter-rotating terms, we here use the Lindblad master equation

(11)ρ˙1=i[ρ1,Hd(t)+Hleak(t)]+[Γ1L(σ1)+Γ2L(σ2)],

with

(12)Hleak(t)=−α|2〉〈2|+[2Ω(t)eiϕ(t)|1〉〈2|+H.c.],

to evaluate the performance of the implemented single-qubit gates, where ρ1 is the density matrix of the considered system and L(A)=Aρ1A†−A†Aρ1/2−ρ1A†A/2 is the Lindblad operator A with σ1=|0〉〈1|+2|1〉〈2| and σ2=|1〉〈1|+2|2〉〈2|, and Γ1 and Γ2 are the decay and dephasing rates of the transmon qubit, respectively. We consider the case of Γ1=Γ2=Γ=2π×2 kHz [38], which is easily accessible with current experimental technologies. The anharmonicity of the transmon is set to be α=2π×300 MHz, and the maximum amplitude Ωmax=2π×16 MHz. We next take the NOT (N) and Phase (T) gates as two typical examples, which can be realized by setting χ1(0)=π/2, γ=π/2 and χ1(0)=0, γ=−π/8 with the same β1(0)=0, respectively. Under maximum amplitude Ωmax=2π×16 MHz, the cyclic evolution time τ is about 102 ns for the NOT gate and 125 ns for the Phase gate. The corresponding shapes of Ω(t) and ϕ(t) for the NOT and Phase gates are shown in Figs. 2(a) and (b), respectively. Assuming the initial states of quantum system are |Φ(0)〉N=|0〉 and |Φ(0)〉T=(|0〉+|1〉)/2 for the cases of the NOT and Phase gates, these geometric gates can be evaluated by using the state fidelity defined by FN/T=N/T〈Φ(τ)|ρ1|Φ(τ)〉N/T with |Φ(τ)〉N=|1〉 and |Φ(τ)〉T=(|0〉+eiπ/4|1〉)/2 being the corresponding ideal final states. The obtained fidelities are as high as FN=99.87% and FT=99.80%, as shown in Figs. 2(c) and (d), respectively. In addition, for the general initial state |Φ1(0)〉=cosθ|0〉+sinθ|1〉, the NOT and Phase gates should result in the ideal final states |Φ(τ)〉N=sinθ|0〉+cosθ|1〉 and |Φ(τ)〉T=cosθ|0〉+eiπ/4sinθ|1〉. To fully evaluate the gate performance, we define gate fidelity as FN/TG=(12π)∫02πN/T〈Φ(τ)|ρ1|Φ(τ)〉N/Hdθ with the integration numerically performed for 1001 input states with θ being uniformly distributed over [0,2π]. We find that the gate fidelities of the NOT and Phase gates can, respectively, reach FNG=99.87% and FTG=99.84%.

2.4 Optimal control

In the above, we have presented and numerically demonstrated our scheme for implementing geometric single-qubit gates, where the evolution path are designed by choosing proper parameters in Hamiltonian Hd(t), which are inversely engineered. Here, we proceed to design the evolution path by combining it with OCT [29, 30], to further enhance the robustness of our scheme against systematic error. Specifically, in the case of the geometric rotation operators around the Z axis, we consider the existence of the static systematic error, i.e., Ω(t)→(1+ϵ)Ω(t). Due to the symmetry of the evolution path of the considered geometric rotations, we take the first path [0,τ/2] to evaluate the gate robustness, which can be calculated by the perturbation theory with probability amplitude P defined as

(13)P=|〈ψ(τ/2)|ψϵ(τ/2)〉|2=1+O˜1+O˜2+⋯,

where |ψϵ(τ/2)〉 is the state with the systematic error, and O˜n denotes the term of the perturbation at the nth order. Ignoring the high-order terms, we next just consider P to the second order, i.e., P2=1+O˜1+O˜2, which is calculated to be

(14)O˜1=0, O˜2=−ϵ2|∫χ0χτ2 e−ifsin2χdχ|2.

Defining f(χ)=η[2χ−sin(2χ)], β1(0)=0 and β2(τ/2)=β1(τ/2)−γ, resulting in O˜2=−ϵ2sin2 ηπ/(2η)2, we can ensure O˜2=0 for P2=1 by setting η to a non-zero integer, which directly demonstrates that the designed evolution path is combined with OCT. It is important to note that when η=0, O˜2=−π2ϵ2/4, the current implementation will reduce to the previous non-adiabatic schemes [8-11]. In the following numerical simulations, for a fair comparison, all the maximum value of Ω(t) are set to be Ωmax=2π×16 MHz. That is the maximum value of the optimized pulse is bounded by Ωmax, and thus the improvement of the gate performance can only be attributed to OCT.

For a typical example, we simulate the Phase gate under the effect of the systematic error ϵΩmax in the range of 2π×[−5,5] MHz. In Fig. 3(a), we plot the gate fidelity as a function of the systematic error ϵΩmax for the cases of η=0 and η=1 without decoherence with the cyclic evolution time τ being 98 ns and 405 ns, respectively. We find that the robustness of our geometric gates in the case of η=1 can be significant improved comparing with the case of η=0 (previous implementations). Meanwhile, as shown in Figs. 3(b) and (c), considering both the systematic error and the decoherence effects, our geometric gate based on OCT still has the advantage of improving robustness in a certain decoherence range.

3 Nontrivial geometric two-qubit gates

In this section, we turn to the implementation of nontrivial two-qubit geometric gates based on two capacitively coupled transmons [47-49], which are respectively labeled by transmons A and B with qubit frequency ωA,B and anharmonicity αA,B. However, the frequency difference Δ=ωA−ωB and coupling strength g between this two transmons A and B are usually fixed and cannot be adjustable. Profitably, in a recent experimental setup [20], as illustrated in in Fig. 4(a), time-dependent tunable coupling interaction can be realized by introducing a qubit-frequency driving ζ(ε(t)) on transmon A, which can be experimentally induced by adding a longitudinal field ε(t)=ζ−1(F˙(t)), where F(t)=λ(t)sin[νt+φ(t)] with ν and φ(t) being the frequency and phase of the longitudinal field, respectively. Then, in the interaction picture, see Appendix B for details, the effective Hamiltonian of the two coupled transmons is

(15)Ht(t)=g[|10〉AB〈01|eiΔt+2|11〉AB〈02|ei(Δ+αB)t +2|20〉AB〈11|ei(Δ−αA)t]e−iλ(t)sin[νt+φ(t)]+H.c..

The corresponding coupling configuration of these two coupled transmons is shown in Fig. 4(b). We consider the case of the resonant interaction in the subspace {|11〉AB,|20〉AB} by choosing the driving frequency ν=Δ−αA with g≪{ν,Δ−ν,Δ+αB−ν}, and then using Jacobi–Anger identity and neglecting the high-order oscillating terms, the obtained effective Hamiltonian can be reduced to

(16)H2(t)=12(0g′(t)eiφ(t)g′(t)e−iφ(t)0),

in the two-qubit subspace {|11〉AB,|20〉AB}, where g′(t)=22gJ1(λ(t)) is effective time-dependent coupling strength between transmon qubits A and B, with J1(λ(t)) being the Bessel function of the first kind.

We note that the Hamiltonian in Eq. (16) is in the same form as that of the single-qubit case in Eq. (5). Thus, within the two-qubit subspace {|00〉AB,|01〉AB,|10〉AB,|11〉AB}, we can also use the effective Hamiltonian H2(t) to acquire a pure geometric phase eiγ′ condition on two-qubit state of |11〉AB by a cyclic evolution, which is just like the way of constructing geometric rotation operations eiγσz. The resulting nontrivial two-qubit geometric control-phase gates can be obtained as

(17)U2(γ′)=(100001000010000eiγ′).

Here, we also use the Lindblad master equation to evaluate the nontrivial two-qubit geometric control-phase gates with γ′=π/2 as a typical example. We set the parameters of coupled transmon qubits as Δ=2π×500 MHz, αA=2π×320 MHz, αB=2π×300 MHz, g=2π×5 MHz and the driving frequency ν=Δ−αA=2π×180 MHz, and the decoherence rate of transmons is the same as the single-qubit case [38]. Furthermore, we fix the evolution time τ′ for the two-qubit gate to be 250 ns under a corresponding coupling strength of gmax′=2π×8 MHz, and the form of the auxiliary parameters χ(t), β(t) being the same as that of the single-qubit case for the geometric rotation operators around Z axis. In this way, the shape of g′(t) and φ(t) can finally be determined. In addition, we can numerically define λ(t)=J1−1[g′(t)/(22g)] as shown in Fig. 4(c), and then use the original Hamiltonian Ht(t) to faithfully verify our proposal. For the general initial state of the two qubit as |Φ2(0)〉=(cosϑ1|0〉A+sinϑ1|1〉A)⊗(cosϑ2|0〉B+sinϑ2|1〉B) with |Φ2(τ′)〉=U2(π/2)|Φ2(0)〉 being the ideal final state, we can define the two-qubit gate fidelity as

(18)F2G=14π2∫02π∫02π〈Φ2(τ′)|ρ2|Φ2(τ′)〉dϑ1dϑ2,

with the integration numerically done for 10001 input states with ϑ1 and ϑ2 uniformly distributed over [0,2π]. As shown in Fig. 4(d), we can get the gate fidelity F2G=99.53%. Finally, comparing the two-qubit Hamiltonian H2(t) with the single-qubit Hamiltonian Hd(t), one find that they are in the same form, both with the tunable coupling strength and phase. Thus, the OCT presented in the single-qubit case can be directly incorporated in this two-qubit gate implementation.

4 Conclusion

In summary, we have proposed a general method to construct fast universal GQC. Then, we physically implemented our proposal on superconducting circuits, where arbitrary single-qubit gates are realized by resonant driving on a transmon qubit with a microwave field, and nontrivial two-qubit gates can be implemented by ac driving on one of the transmon qubits, which leads to effectively resonant coupling between them. Finally, our scheme can combine with OCT to further enhance the gate robustness against the static systematic error. We note that our proposal can be expanded to a two-dimensional capacitively coupled lattice of transmon qubits, and thus provides a promising step towards fault-tolerant quantum computation on superconducting circuits.

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