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Quantum algorithm for preparing the ground state of a system via resonance transition

Preparing the ground state of a system is an important task in physics. We propose a quantum algorithm for preparing the ground state of a physical system that can be simulated on a quantum computer. The system is coupled to an ancillary qubit, by introducing a resonance mechanism between the ancill...

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Autor principal: Wang, Hefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703942/
https://www.ncbi.nlm.nih.gov/pubmed/29180751
http://dx.doi.org/10.1038/s41598-017-16396-0
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author Wang, Hefeng
author_facet Wang, Hefeng
author_sort Wang, Hefeng
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description Preparing the ground state of a system is an important task in physics. We propose a quantum algorithm for preparing the ground state of a physical system that can be simulated on a quantum computer. The system is coupled to an ancillary qubit, by introducing a resonance mechanism between the ancilla qubit and the system, and combined with measurements performed on the ancilla qubit, the system can be evolved to monotonically converge to its ground state through an iterative procedure. We have simulated the application of this algorithm for the Afflect-Kennedy-Lieb-Tasaki model, whose ground state can be used as resource state in one-way quantum computation.
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spelling pubmed-57039422017-11-30 Quantum algorithm for preparing the ground state of a system via resonance transition Wang, Hefeng Sci Rep Article Preparing the ground state of a system is an important task in physics. We propose a quantum algorithm for preparing the ground state of a physical system that can be simulated on a quantum computer. The system is coupled to an ancillary qubit, by introducing a resonance mechanism between the ancilla qubit and the system, and combined with measurements performed on the ancilla qubit, the system can be evolved to monotonically converge to its ground state through an iterative procedure. We have simulated the application of this algorithm for the Afflect-Kennedy-Lieb-Tasaki model, whose ground state can be used as resource state in one-way quantum computation. Nature Publishing Group UK 2017-11-27 /pmc/articles/PMC5703942/ /pubmed/29180751 http://dx.doi.org/10.1038/s41598-017-16396-0 Text en © The Author(s) 2017 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/.
spellingShingle Article
Wang, Hefeng
Quantum algorithm for preparing the ground state of a system via resonance transition
title Quantum algorithm for preparing the ground state of a system via resonance transition
title_full Quantum algorithm for preparing the ground state of a system via resonance transition
title_fullStr Quantum algorithm for preparing the ground state of a system via resonance transition
title_full_unstemmed Quantum algorithm for preparing the ground state of a system via resonance transition
title_short Quantum algorithm for preparing the ground state of a system via resonance transition
title_sort quantum algorithm for preparing the ground state of a system via resonance transition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703942/
https://www.ncbi.nlm.nih.gov/pubmed/29180751
http://dx.doi.org/10.1038/s41598-017-16396-0
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