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Quantum algorithmic measurement

There has been recent promising experimental and theoretical evidence that quantum computational tools might enhance the precision and efficiency of physical experiments. However, a systematic treatment and comprehensive framework are missing. Here we initiate the systematic study of experimental qu...

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Autores principales: Aharonov, Dorit, Cotler, Jordan, Qi, Xiao-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850572/
https://www.ncbi.nlm.nih.gov/pubmed/35173160
http://dx.doi.org/10.1038/s41467-021-27922-0
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author Aharonov, Dorit
Cotler, Jordan
Qi, Xiao-Liang
author_facet Aharonov, Dorit
Cotler, Jordan
Qi, Xiao-Liang
author_sort Aharonov, Dorit
collection PubMed
description There has been recent promising experimental and theoretical evidence that quantum computational tools might enhance the precision and efficiency of physical experiments. However, a systematic treatment and comprehensive framework are missing. Here we initiate the systematic study of experimental quantum physics from the perspective of computational complexity. To this end, we define the framework of quantum algorithmic measurements (QUALMs), a hybrid of black box quantum algorithms and interactive protocols. We use the QUALM framework to study two important experimental problems in quantum many-body physics: determining whether a system’s Hamiltonian is time-independent or time-dependent, and determining the symmetry class of the dynamics of the system. We study abstractions of these problems and show for both cases that if the experimentalist can use her experimental samples coherently (in both space and time), a provable exponential speedup is achieved compared to the standard situation in which each experimental sample is accessed separately. Our work suggests that quantum computers can provide a new type of exponential advantage: exponential savings in resources in quantum experiments.
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spelling pubmed-88505722022-03-04 Quantum algorithmic measurement Aharonov, Dorit Cotler, Jordan Qi, Xiao-Liang Nat Commun Article There has been recent promising experimental and theoretical evidence that quantum computational tools might enhance the precision and efficiency of physical experiments. However, a systematic treatment and comprehensive framework are missing. Here we initiate the systematic study of experimental quantum physics from the perspective of computational complexity. To this end, we define the framework of quantum algorithmic measurements (QUALMs), a hybrid of black box quantum algorithms and interactive protocols. We use the QUALM framework to study two important experimental problems in quantum many-body physics: determining whether a system’s Hamiltonian is time-independent or time-dependent, and determining the symmetry class of the dynamics of the system. We study abstractions of these problems and show for both cases that if the experimentalist can use her experimental samples coherently (in both space and time), a provable exponential speedup is achieved compared to the standard situation in which each experimental sample is accessed separately. Our work suggests that quantum computers can provide a new type of exponential advantage: exponential savings in resources in quantum experiments. Nature Publishing Group UK 2022-02-16 /pmc/articles/PMC8850572/ /pubmed/35173160 http://dx.doi.org/10.1038/s41467-021-27922-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Aharonov, Dorit
Cotler, Jordan
Qi, Xiao-Liang
Quantum algorithmic measurement
title Quantum algorithmic measurement
title_full Quantum algorithmic measurement
title_fullStr Quantum algorithmic measurement
title_full_unstemmed Quantum algorithmic measurement
title_short Quantum algorithmic measurement
title_sort quantum algorithmic measurement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850572/
https://www.ncbi.nlm.nih.gov/pubmed/35173160
http://dx.doi.org/10.1038/s41467-021-27922-0
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