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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-8850572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT aharonovdorit quantumalgorithmicmeasurement AT cotlerjordan quantumalgorithmicmeasurement AT qixiaoliang quantumalgorithmicmeasurement |