Universal and operational benchmarking of quantum memories

Quantum memory—the capacity to faithfully preserve quantum coherence and correlations—is essential for quantum-enhanced technology. There is thus a pressing need for operationally meaningful means to benchmark candidate memories across diverse physical platforms. Here we introduce a universal benchm...

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Main Authors: Yuan, Xiao, Liu, Yunchao, Zhao, Qi, Regula, Bartosz, Thompson, Jayne, Gu, Mile
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/153822
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-153822
record_format dspace
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Physics
Quantum Information
Theoretical Physics
spellingShingle Science::Physics
Quantum Information
Theoretical Physics
Yuan, Xiao
Liu, Yunchao
Zhao, Qi
Regula, Bartosz
Thompson, Jayne
Gu, Mile
Universal and operational benchmarking of quantum memories
description Quantum memory—the capacity to faithfully preserve quantum coherence and correlations—is essential for quantum-enhanced technology. There is thus a pressing need for operationally meaningful means to benchmark candidate memories across diverse physical platforms. Here we introduce a universal benchmark distinguished by its relevance across multiple key operational settings, exactly quantifying (1) the memory’s robustness to noise, (2) the number of noiseless qubits needed for its synthesis, (3) its potential to speed up statistical sampling tasks, and (4) performance advantage in non-local games beyond classical limits. The measure is analytically computable for low-dimensional systems and can be efficiently bounded in the experiment without tomography. We thus illustrate quantum memory as a meaningful resource, with our benchmark reflecting both its cost of creation and what it can accomplish. We demonstrate the benchmark on the five-qubit IBM Q hardware, and apply it to witness the efficacy of error-suppression techniques and quantify non-Markovian noise. We thus present an experimentally accessible, practically meaningful, and universally relevant quantifier of a memory’s capability to preserve quantum advantage.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Yuan, Xiao
Liu, Yunchao
Zhao, Qi
Regula, Bartosz
Thompson, Jayne
Gu, Mile
format Article
author Yuan, Xiao
Liu, Yunchao
Zhao, Qi
Regula, Bartosz
Thompson, Jayne
Gu, Mile
author_sort Yuan, Xiao
title Universal and operational benchmarking of quantum memories
title_short Universal and operational benchmarking of quantum memories
title_full Universal and operational benchmarking of quantum memories
title_fullStr Universal and operational benchmarking of quantum memories
title_full_unstemmed Universal and operational benchmarking of quantum memories
title_sort universal and operational benchmarking of quantum memories
publishDate 2021
url https://hdl.handle.net/10356/153822
_version_ 1759852960272089088
spelling sg-ntu-dr.10356-1538222023-02-28T20:00:29Z Universal and operational benchmarking of quantum memories Yuan, Xiao Liu, Yunchao Zhao, Qi Regula, Bartosz Thompson, Jayne Gu, Mile School of Physical and Mathematical Sciences Complexity Institute Nanyang Quantum Hub Centre for Quantum Technologies Science::Physics Quantum Information Theoretical Physics Quantum memory—the capacity to faithfully preserve quantum coherence and correlations—is essential for quantum-enhanced technology. There is thus a pressing need for operationally meaningful means to benchmark candidate memories across diverse physical platforms. Here we introduce a universal benchmark distinguished by its relevance across multiple key operational settings, exactly quantifying (1) the memory’s robustness to noise, (2) the number of noiseless qubits needed for its synthesis, (3) its potential to speed up statistical sampling tasks, and (4) performance advantage in non-local games beyond classical limits. The measure is analytically computable for low-dimensional systems and can be efficiently bounded in the experiment without tomography. We thus illustrate quantum memory as a meaningful resource, with our benchmark reflecting both its cost of creation and what it can accomplish. We demonstrate the benchmark on the five-qubit IBM Q hardware, and apply it to witness the efficacy of error-suppression techniques and quantify non-Markovian noise. We thus present an experimentally accessible, practically meaningful, and universally relevant quantifier of a memory’s capability to preserve quantum advantage. Ministry of Education (MOE) National Research Foundation (NRF) Published version We are grateful to Ryuji Takagi for making us aware of errors in a preliminary version of this manuscript. We acknowledge Simon Benjamin and Earl Campbell for insightful discussions. This work is supported by the EPSRC National Quantum Technology Hub in Networked Quantum Information Technology (EP/M013243/1), the National Natural Science Foundation of China grants nos. 11875173 and 11674193, and the National Key R&D Programme of China grants nos. 2017YFA0303900 and 2017YFA0304004, the National Research Foundation of Singapore fellowship no. NRF-NRFF2016-02 and the National Research Foundation and L’Agence Nationale de la Recherche joint Project no. NRF2017-NRFANR004 VanQuTe, the MOE Tier 1 grant RG162/19 (S), the Foundational Questions Institute (FQXi) large grant FQXi-RFP-IPW-1903 ‘Are quantum agents more energetically efficient at making predictions?’ the National Research Foundation of Singapore under its NRF-ANR joint programme (NRF2017-NRF-ANR004 VanQuTe), the National Research Foundation Fellowship NRF-NRFF2016-02, the Singapore Ministry of Education Tier 1 grant 2019-T1- 002-015 (RG190/17), FQXi-RFP-1809 from the Foundational Questions Institute and Fetzer Franklin Fund, a donor advised fund of Silicon Valley Community Foundation and the Quantum Engineering Programme QEP-SP3. Finally, we acknowledge use of the IBM Q for this work. The views expressed are those of the authors and do not reflect the official policy or position of IBM, the IBM Q team, the National Foundation of Singapore or the Ministry of Education of Singapore. 2021-12-30T01:35:42Z 2021-12-30T01:35:42Z 2021 Journal Article Yuan, X., Liu, Y., Zhao, Q., Regula, B., Thompson, J. & Gu, M. (2021). Universal and operational benchmarking of quantum memories. Npj Quantum Information, 7(1), 108-. https://dx.doi.org/10.1038/s41534-021-00444-9 2056-6387 https://hdl.handle.net/10356/153822 10.1038/s41534-021-00444-9 2-s2.0-85111100979 1 7 108 en NRF-NRFF2016-02 NRF2017-NRFANR004 VanQuTe RG162/19 (S) 2019-T1- 002-015 (RG190/17) npj Quantum Information © 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. application/pdf