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Title: Universal and operational benchmarking of quantum memories
Authors: Yuan, Xiao
Liu, Yunchao
Zhao, Qi
Regula, Bartosz
Thompson, Jayne
Gu, Mile
Keywords: Science::Physics
Issue Date: 2021
Source: 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-.
Project: NRF-NRFF2016-02
NRF2017-NRFANR004 VanQuTe
RG162/19 (S)
2019-T1- 002-015 (RG190/17)
Journal: npj Quantum Information
Abstract: 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.
ISSN: 2056-6387
DOI: 10.1038/s41534-021-00444-9
Rights: © 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
Fulltext Permission: open
Fulltext Availability: With Fulltext
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