Photonic counterdiabatic quantum optimization algorithm

One of the key applications of near-term quantum computers has been the development of quantum optimization algorithms. However, these algorithms have largely been focused on qubit-based technologies. Here, we propose a hybrid quantum-classical approximate optimization algorithm for photonic quantum...

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Autores: Chandarana, P., Paul, K., Garcia-de-Andoin, M., Ban, Y., Sanz, Mikel, Chen, Xi
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/376362
Acceso en línea:http://hdl.handle.net/10261/376362
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205778719&doi=10.1038%2fs42005-024-01807-2&partnerID=40&md5=61e47cb9626a8167ca0139de359fb559
Access Level:acceso abierto
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spelling Photonic counterdiabatic quantum optimization algorithmChandarana, P.Paul, K.Garcia-de-Andoin, M.Ban, Y.Sanz, MikelChen, XiOne of the key applications of near-term quantum computers has been the development of quantum optimization algorithms. However, these algorithms have largely been focused on qubit-based technologies. Here, we propose a hybrid quantum-classical approximate optimization algorithm for photonic quantum computing, specifically tailored for addressing continuous-variable optimization problems. Inspired by counterdiabatic protocols, our algorithm reduces the required quantum operations for optimization compared to adiabatic protocols. This reduction enables us to tackle non-convex continuous optimization within the near-term era of quantum computing. Through illustrative benchmarking, we show that our approach can outperform existing state-of-the-art hybrid adiabatic quantum algorithms in terms of convergence and implementability. Our algorithm offers a practical and accessible experimental realization, bypassing the need for high-order operations and overcoming experimental constraints. We conduct a proof-of-principle demonstration on Xanadu’s eight-mode nanophotonic quantum chip, successfully showcasing the feasibility and potential impact of the algorithm. © The Author(s) 2024.We acknowledge the use of Strawberryfields Library58 for performing the simulations and the experiment. The authors acknowledge Tasio Gonzalez-Raya, Narendra Hegade, and Martin Larocca for useful discussions. This work is supported by EU FET Open Grant EPIQUS (899368), and the Basque Government through Grant No. IT1470-22, the project grant PID2021-126273NB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe” and “ERDF Invest in your Future”, the Spanish Ministry of Economic Affairs and Digital Transformation through the QUANTUM ENIA project call-Quantum Spain project, the Spanish CDTI through Plan complementario Comunicación cuántica (EXP. 2022/01341) (A/20220551), and project OpenSuperQ+100 (101113946) of the EU Flagship on Quantum Technologies, Nanoscale NMR and complex systems (Grant Nos. PID2021-126694NB-C21 and PID2021-126694NA-C22), and the IKUR Strategy under the collaboration agreement between Ikerbasque Foundation and BCAM on behalf of the Department of Education of the Basque Government. M.S. acknowledges support from Spanish Ramón y Cajal Grant RYC-2020-030503-I. MGdA acknowledges support from the UPV/EHU and TECNALIA 2021 PIF contract call, from the Basque Government through the “Plan complementario de comunicación cúantica” (EXP.2022/01341) (A/20220551), from the Basque Government through the ELKARTEK program, project “KUBIT - Kuantikaren Berrikuntzarako Ikasketa Teknologikoa” (KK-2024/00105), and from the Spanish Ministry of Science and Innovation under the Recovery, Transformation and Resilience Plan (CUCO, MIG-20211005).The datasets used and/or analyzed during the current study are available in the main text and the supplementary information.Peer reviewedSpringer NatureConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/376362https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205778719&doi=10.1038%2fs42005-024-01807-2&partnerID=40&md5=61e47cb9626a8167ca0139de359fb559reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésCommunications Physicshttps://doi.org/10.1038/s42005-024-01807-2Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3763622026-05-22T06:33:51Z
dc.title.none.fl_str_mv Photonic counterdiabatic quantum optimization algorithm
title Photonic counterdiabatic quantum optimization algorithm
spellingShingle Photonic counterdiabatic quantum optimization algorithm
Chandarana, P.
title_short Photonic counterdiabatic quantum optimization algorithm
title_full Photonic counterdiabatic quantum optimization algorithm
title_fullStr Photonic counterdiabatic quantum optimization algorithm
title_full_unstemmed Photonic counterdiabatic quantum optimization algorithm
title_sort Photonic counterdiabatic quantum optimization algorithm
dc.creator.none.fl_str_mv Chandarana, P.
Paul, K.
Garcia-de-Andoin, M.
Ban, Y.
Sanz, Mikel
Chen, Xi
author Chandarana, P.
author_facet Chandarana, P.
Paul, K.
Garcia-de-Andoin, M.
Ban, Y.
Sanz, Mikel
Chen, Xi
author_role author
author2 Paul, K.
Garcia-de-Andoin, M.
Ban, Y.
Sanz, Mikel
Chen, Xi
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
description One of the key applications of near-term quantum computers has been the development of quantum optimization algorithms. However, these algorithms have largely been focused on qubit-based technologies. Here, we propose a hybrid quantum-classical approximate optimization algorithm for photonic quantum computing, specifically tailored for addressing continuous-variable optimization problems. Inspired by counterdiabatic protocols, our algorithm reduces the required quantum operations for optimization compared to adiabatic protocols. This reduction enables us to tackle non-convex continuous optimization within the near-term era of quantum computing. Through illustrative benchmarking, we show that our approach can outperform existing state-of-the-art hybrid adiabatic quantum algorithms in terms of convergence and implementability. Our algorithm offers a practical and accessible experimental realization, bypassing the need for high-order operations and overcoming experimental constraints. We conduct a proof-of-principle demonstration on Xanadu’s eight-mode nanophotonic quantum chip, successfully showcasing the feasibility and potential impact of the algorithm. © The Author(s) 2024.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
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format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/376362
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205778719&doi=10.1038%2fs42005-024-01807-2&partnerID=40&md5=61e47cb9626a8167ca0139de359fb559
url http://hdl.handle.net/10261/376362
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205778719&doi=10.1038%2fs42005-024-01807-2&partnerID=40&md5=61e47cb9626a8167ca0139de359fb559
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Communications Physics
https://doi.org/10.1038/s42005-024-01807-2

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instname:Consejo Superior de Investigaciones Científicas (CSIC)
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