Show simple item record

Portfolio optimization with digitized counterdiabatic quantum algorithms

dc.contributor.authorHegade, Narendra N.
dc.contributor.authorChandarana, Pranav
dc.contributor.authorPaul, Koushik
dc.contributor.authorChen, Xi
dc.contributor.authorAlbarrán Arriagada, Francisco
dc.contributor.authorSolano Villanueva, Enrique Leónidas ORCID
dc.date.accessioned2023-02-01T19:02:10Z
dc.date.available2023-02-01T19:02:10Z
dc.date.issued2022-12
dc.identifier.citationPhysical Review Research 4 : (2022) // Article ID 043204es_ES
dc.identifier.issn2643-1564
dc.identifier.urihttp://hdl.handle.net/10810/59605
dc.description.abstractWe consider digitized-counterdiabatic quantum computing as an advanced paradigm to approach quantum advantage for industrial applications in the NISQ era. We apply this concept to investigate a discrete meanvariance portfolio optimization problem, showing its usefulness in a key finance application. Our analysis shows a drastic improvement in the success probabilities of the resulting digital quantum algorithm when approximate counterdiabatic techniques are introduced. Along these lines, we discuss the enhanced performance of our methods over variational quantum algorithms like QAOA and DC-QAOA.es_ES
dc.description.sponsorshipThis work is supported by NSFC (Grant No. 12075145) , STCSM (Grant No. 2019SHZDZX01-ZX04) , EU FET Open Grant EPIQUS (No. 899368) , QUANTEK project (Grant No. KK-2021/00070) , the Basque Government through Grant No. IT1470-22, the project Grant No. PID2021-126273NB-I00 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe and ERDF Invest in your Future and the Ramon y Cajal program (Grant No. RYC-2017-22482) . F. A. -A. acknowledges ANID Subvencion a la Instalacion en la Academia SA77210018 ANID Proyecto Basal AFB 180001. Authors would also like to acknowledge the Azure quantum credits program for providing access to the Quantinuum H1 emulator.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Physical Societyes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/899368es_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2021-126273NB-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/MICIU/RYC-2017-22482es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titlePortfolio optimization with digitized counterdiabatic quantum algorithmses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderPublished by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.4.043204es_ES
dc.identifier.doi10.1103/PhysRevResearch.4.043204
dc.contributor.funderEuropean Commission
dc.departamentoesQuímica físicaes_ES
dc.departamentoeuKimika fisikoaes_ES


Files in this item

Thumbnail
Name:
license_rdf
Size:
914bytes
Format:
application/rdf+xml
View/Open
Thumbnail
Name:
PhysRevResearch.4.043204.pdf
Size:
542.0Kb
Format:
PDF
Description:
Artículo
View/Open

This item appears in the following Collection(s)

Show simple item record

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Except where otherwise noted, this item's license is described as Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.