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Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor

delete2021-11-24
delete75
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OA
AI
A
Akel Hashim *
R
Ravi Naik
A
Alexis Morvan
J
Jean-Loup Ville
B
Bradley Mitchell
J
John Mark Kreikebaum
M
Marc Davis
E
Ethan Smith
C
Costin Iancu
K
Kevin P. O’Brien
I
Ian Hincks
J
Joel J. Wallman
J
Joseph Emerson
I
Irfan Siddiqi
DOI:10.1103/PhysRevX.11.041039delete
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摘要

摘要

En 中文
The successful implementation of algorithms on quantum processors relies on the accurate control of quantum bits (qubits) to perform logic gate operations. In this era of noisy intermediate-scale quantum (NISQ) computing, systematic miscalibrations, drift, and crosstalk in the control of qubits can lead to a coherent form of error that has no classical analog. Coherent errors severely limit the performance of quantum algorithms in an unpredictable manner, and mitigating their impact is necessary for realizing reliable quantum computations. Moreover, the average error rates measured by randomized benchmarking and related protocols are not sensitive to the full impact of coherent errors and therefore do not reliably predict the global performance of quantum algorithms, leaving us unprepared to validate the accuracy of future large-scale quantum computations. Randomized compiling is a protocol designed to overcome these performance limitations by converting coherent errors into stochastic noise, dramatically reducing unpredictable errors in quantum algorithms and enabling accurate predictions of algorithmic performance from error rates measured via cycle benchmarking. In this work, we demonstrate significant performance gains under randomized compiling for the four-qubit quantum Fourier transform algorithm and for random circuits of variable depth on a superconducting quantum processor. Additionally, we accurately predict algorithm performance using experimentally measured error rates. Our results demonstrate that randomized compiling can be utilized to leverage and predict the capabilities of modern-day noisy quantum processors, paving the way forward for scalable quantum computing.
Keyword:
ALGORITHMS

期刊

Physical Review X 封面图
Physical Review X
IF:
15.7
论文数:
2.7K
被引数:
3.4W

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L
Lawrence Berkeley National Laboratory
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被引数: 6.1W
U
united states department of energy (doe)
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11.3W
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被引数: 246
University of California System 封面图
University of California System
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被引数: 6.6K
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