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

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...

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Autores principales:	Akel Hashim, Ravi K. Naik, Alexis Morvan, Jean-Loup Ville, Bradley Mitchell, John Mark Kreikebaum, Marc Davis, Ethan Smith, Costin Iancu, Kevin P. O’Brien, Ian Hincks, Joel J. Wallman, Joseph Emerson, Irfan Siddiqi
Formato:	article
Lenguaje:	EN
Publicado:	American Physical Society 2021
Materias:	Physics QC1-999
Acceso en línea:	https://doaj.org/article/4a5aaf0acc4a4a6d8c8af2ac41e8de58
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spelling	oai:doaj.org-article:4a5aaf0acc4a4a6d8c8af2ac41e8de582021-11-24T15:26:33ZRandomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor10.1103/PhysRevX.11.0410392160-3308https://doaj.org/article/4a5aaf0acc4a4a6d8c8af2ac41e8de582021-11-01T00:00:00Zhttp://doi.org/10.1103/PhysRevX.11.041039http://doi.org/10.1103/PhysRevX.11.041039https://doaj.org/toc/2160-3308The 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.Akel HashimRavi K. NaikAlexis MorvanJean-Loup VilleBradley MitchellJohn Mark KreikebaumMarc DavisEthan SmithCostin IancuKevin P. O’BrienIan HincksJoel J. WallmanJoseph EmersonIrfan SiddiqiAmerican Physical SocietyarticlePhysicsQC1-999ENPhysical Review X, Vol 11, Iss 4, p 041039 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999
spellingShingle	Physics QC1-999 Akel Hashim Ravi K. Naik Alexis Morvan Jean-Loup Ville Bradley Mitchell John Mark Kreikebaum Marc Davis Ethan Smith Costin Iancu Kevin P. O’Brien Ian Hincks Joel J. Wallman Joseph Emerson Irfan Siddiqi Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
description	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.
format	article
author	Akel Hashim Ravi K. Naik Alexis Morvan Jean-Loup Ville Bradley Mitchell John Mark Kreikebaum Marc Davis Ethan Smith Costin Iancu Kevin P. O’Brien Ian Hincks Joel J. Wallman Joseph Emerson Irfan Siddiqi
author_facet	Akel Hashim Ravi K. Naik Alexis Morvan Jean-Loup Ville Bradley Mitchell John Mark Kreikebaum Marc Davis Ethan Smith Costin Iancu Kevin P. O’Brien Ian Hincks Joel J. Wallman Joseph Emerson Irfan Siddiqi
author_sort	Akel Hashim
title	Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
title_short	Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
title_full	Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
title_fullStr	Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
title_full_unstemmed	Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor
title_sort	randomized compiling for scalable quantum computing on a noisy superconducting quantum processor
publisher	American Physical Society
publishDate	2021
url	https://doaj.org/article/4a5aaf0acc4a4a6d8c8af2ac41e8de58
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Randomized Compiling for Scalable Quantum Computing on a Noisy Superconducting Quantum Processor

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