Variational quantum algorithm with information sharing

Abstract We introduce an optimisation method for variational quantum algorithms and experimentally demonstrate a 100-fold improvement in efficiency compared to naive implementations. The effectiveness of our approach is shown by obtaining multi-dimensional energy surfaces for small molecules and a s...

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Autores principales:	Chris N. Self, Kiran E. Khosla, Alistair W. R. Smith, Frédéric Sauvage, Peter D. Haynes, Johannes Knolle, Florian Mintert, M. S. Kim
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Physics QC1-999 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/df508c9fc03941c3b4af813f7440ce5c
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spelling	oai:doaj.org-article:df508c9fc03941c3b4af813f7440ce5c2021-12-02T16:17:27ZVariational quantum algorithm with information sharing10.1038/s41534-021-00452-92056-6387https://doaj.org/article/df508c9fc03941c3b4af813f7440ce5c2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41534-021-00452-9https://doaj.org/toc/2056-6387Abstract We introduce an optimisation method for variational quantum algorithms and experimentally demonstrate a 100-fold improvement in efficiency compared to naive implementations. The effectiveness of our approach is shown by obtaining multi-dimensional energy surfaces for small molecules and a spin model. Our method solves related variational problems in parallel by exploiting the global nature of Bayesian optimisation and sharing information between different optimisers. Parallelisation makes our method ideally suited to the next generation of variational problems with many physical degrees of freedom. This addresses a key challenge in scaling-up quantum algorithms towards demonstrating quantum advantage for problems of real-world interest.Chris N. SelfKiran E. KhoslaAlistair W. R. SmithFrédéric SauvagePeter D. HaynesJohannes KnolleFlorian MintertM. S. KimNature PortfolioarticlePhysicsQC1-999Electronic computers. Computer scienceQA75.5-76.95ENnpj Quantum Information, Vol 7, Iss 1, Pp 1-7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Physics QC1-999 Electronic computers. Computer science QA75.5-76.95
spellingShingle	Physics QC1-999 Electronic computers. Computer science QA75.5-76.95 Chris N. Self Kiran E. Khosla Alistair W. R. Smith Frédéric Sauvage Peter D. Haynes Johannes Knolle Florian Mintert M. S. Kim Variational quantum algorithm with information sharing
description	Abstract We introduce an optimisation method for variational quantum algorithms and experimentally demonstrate a 100-fold improvement in efficiency compared to naive implementations. The effectiveness of our approach is shown by obtaining multi-dimensional energy surfaces for small molecules and a spin model. Our method solves related variational problems in parallel by exploiting the global nature of Bayesian optimisation and sharing information between different optimisers. Parallelisation makes our method ideally suited to the next generation of variational problems with many physical degrees of freedom. This addresses a key challenge in scaling-up quantum algorithms towards demonstrating quantum advantage for problems of real-world interest.
format	article
author	Chris N. Self Kiran E. Khosla Alistair W. R. Smith Frédéric Sauvage Peter D. Haynes Johannes Knolle Florian Mintert M. S. Kim
author_facet	Chris N. Self Kiran E. Khosla Alistair W. R. Smith Frédéric Sauvage Peter D. Haynes Johannes Knolle Florian Mintert M. S. Kim
author_sort	Chris N. Self
title	Variational quantum algorithm with information sharing
title_short	Variational quantum algorithm with information sharing
title_full	Variational quantum algorithm with information sharing
title_fullStr	Variational quantum algorithm with information sharing
title_full_unstemmed	Variational quantum algorithm with information sharing
title_sort	variational quantum algorithm with information sharing
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/df508c9fc03941c3b4af813f7440ce5c
work_keys_str_mv	AT chrisnself variationalquantumalgorithmwithinformationsharing AT kiranekhosla variationalquantumalgorithmwithinformationsharing AT alistairwrsmith variationalquantumalgorithmwithinformationsharing AT fredericsauvage variationalquantumalgorithmwithinformationsharing AT peterdhaynes variationalquantumalgorithmwithinformationsharing AT johannesknolle variationalquantumalgorithmwithinformationsharing AT florianmintert variationalquantumalgorithmwithinformationsharing AT mskim variationalquantumalgorithmwithinformationsharing
_version_	1718384262646857728

Variational quantum algorithm with information sharing

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