Experimental Simulation of Larger Quantum Circuits with Fewer Superconducting Qubits

Ying, Chong; Cheng, Bin; Zhao, Youwei; Huang, He-Liang; Zhang, Yu-Ning; Gong, Ming; Wu, Yulin; Wang, Shiyu; Liang, Futian; Lin, Jin; Xu, Yu; Deng, Hui; Rong, Hao; Peng, Cheng-Zhi; Yung, Man‐Hong; Zhu, Xiaobo; Pan, Jian-Wei

doi:10.1103/physrevlett.130.110601

Cited by 10 publications

(6 citation statements)

References 38 publications

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“…The observed result that quantum circuit cutting applied in QAOA for the MaxCut problem produces execution results less affected by noise are in line with evaluations of circuit cutting on benchmark circuits [31,33,34]. The reasoning is that there is a range in the size of the subcircuits where their execution is significantly less noisy than the execution of the original circuit.…”

Section: Discussionsupporting

confidence: 75%

“…In circuit cutting experiments, various works have practically demonstrated that circuit cutting can be used to expand the size of executable circuits beyond the physical capabilities of NISQ devices, e.g. for a set of benchmark circuits [31], GHZ circuits [32], and circuits for linear cluster states [33]. Moreover, it has been shown experimentally that in noisy simulations and on NISQ devices, circuit cutting can lead to better, i.e.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, it has been shown experimentally that in noisy simulations and on NISQ devices, circuit cutting can lead to better, i.e. less noisy, execution results [31][32][33][34]. Circuit cutting can help with gate errors and short decoherence times since smaller circuits are less susceptible to these noise sources; in contrast, readout errors can be detrimental to the circuit cutting procedure since it requires additional measurements [34].…”

Section: Related Workmentioning

confidence: 99%

“…Quantum circuit cutting can be classified as a decomposition technique on the quantum circuit level as it is independent of the algorithm generating the circuits [14,15]. Like other decomposition approaches, it can reduce the number of required qubits and increase the size of solvable problem instances with available quantum devices [31,33]. However, our work focuses not on expanding the problem size but on decreasing circuit complexity.…”

Section: Motivation and Rqsmentioning

confidence: 99%

“…On the other hand, the used circuit cutting approach must execute only 32 subcircuits for the two cuts. Other work focuses on experiments with more than two cuts [33,34] and also on significantly reducing the number of required subcircuits [41]. Regarding the selection of the NISQ devices, the experiments were conducted on multiple devices of IBM's Falcon chip architecture.…”

Section: Limitationsmentioning

confidence: 99%

See 4 more Smart Citations

Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices

Bechtold,

Barzen,

Leymann

et al. 2023

Quantum Sci. Technol.

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Noisy Intermediate-Scale Quantum (NISQ) devices are restricted by their limited number of qubits and their short decoherence times. An approach addressing these problems is quantum circuit cutting. It decomposes the execution of a large quantum circuit into the execution of multiple smaller quantum circuits with additional classical postprocessing. Since these smaller quantum circuits require fewer qubits and gates, they are more suitable for NISQ devices. To investigate the effect of quantum circuit cutting in a quantum algorithm targeting NISQ devices, we design two experiments using the Quantum Approximate Optimization Algorithm (QAOA) for the Maximum Cut (MaxCut) problem and conduct them on state-of-the-art superconducting devices. Our first experiment studies the influence of circuit cutting on the objective function of QAOA, and the second evaluates the quality of results obtained by the whole algorithm with circuit cutting. The results show that circuit cutting can reduce the effects of noise in QAOA, and therefore, the algorithm yields better solutions on NISQ devices.

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Section: Discussionsupporting

confidence: 75%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Motivation and Rqsmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

See 3 more Smart Citations

Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices

Bechtold,

Barzen,

Leymann

et al. 2023

Quantum Sci. Technol.

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Non-Markovian dynamics of time-fractional open quantum systems

Wei,

Liu,

et al. 2024

Chaos, Solitons & Fractals

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Error suppression by a virtual two-qubit gate

Yamamoto

Ohira

2023

Journal of Applied Physics

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Sparse connectivity of a superconducting quantum computer results in large experimental overheads of SWAP gates. In this study, we consider employing a virtual two-qubit gate (VTQG) as an error suppression technique. The VTQG enables a non-local operation between a pair of distant qubits using only single qubit gates and projective measurements. Here, we apply the VTQG to the digital quantum simulation of the transverse-field Ising model on an IBM quantum computer to suppress the errors due to the noisy two-qubit operations. We present an effective use of VTQG, where the reduction in multiple SWAP gates results in increasing the fidelity of output states. The obtained results indicate that the VTQG can be useful for suppressing the errors due to additional SWAP gates. In our experiments, we have observed one order of magnitude improvement in accuracy for the quantum simulation of the transverse-field Ising model with 8 qubits. Finally, we have demonstrated an efficient implementation of the VTQG by utilizing dynamic circuits. This scheme reduces experimental overheads for implementing m VTQGs from O(10m) to O(6m).

show abstract

Experimental Simulation of Larger Quantum Circuits with Fewer Superconducting Qubits

Cited by 10 publications

References 38 publications

Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices

Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices

Non-Markovian dynamics of time-fractional open quantum systems

Error suppression by a virtual two-qubit gate

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