Alternative pipeline for option pricing using quantum computers

UDC.coleccionInvestigaciónes_ES
UDC.departamentoMatemáticases_ES
UDC.endPage35es_ES
UDC.grupoInvModelos e Métodos Numéricos en Enxeñaría e Ciencias Aplicadas (M2NICA)es_ES
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicaciónes_ES
UDC.issue28es_ES
UDC.journalTitleEPJ Quantum Technologyes_ES
UDC.startPage1es_ES
UDC.volume12es_ES
dc.contributor.authorManzano, Alberto
dc.contributor.authorFerro, Gonzalo
dc.contributor.authorLeitao, Álvaro
dc.contributor.authorVázquez, Carlos
dc.contributor.authorGómez Tato, Andrés
dc.date.accessioned2025-04-15T09:20:47Z
dc.date.available2025-04-15T09:20:47Z
dc.date.issued2025
dc.description.abstract[Abstract]: In this work we present an alternative methodology to the standard Quantum Accelerated Monte Carlo (QAMC) applied to derivatives pricing. Our pipeline benefits from the combination of a new encoding protocol, referred to as the direct encoding, and an amplitude estimation algorithm, the modified Real Quantum Amplitude Estimation (mRQAE) algorithm. On the one hand, the direct encoding prepares a quantum state which contains the information about the sign of the expected payoff. On the other hand, the mRQAE is able to read all the information contained in the quantum state. Although the procedure we describe is different from the standard one, the main building blocks are almost the same. Thus, all the extensive research that has been performed is still applicable. Moreover, we experimentally compare the performance of the proposed methodology against the standard QAMC employing a quantum emulator and show that we retain the speedups.es_ES
dc.description.sponsorshipAll authors acknowledge the European Project NExt ApplicationS of Quantum Computing (NEASQC), funded by Horizon 2020 Program inside the call H2020-FETFLAG-2020-01 (Grant Agreement 951821). Á. Leitao, A. Manzano and C. Vázquez also acknowledge funding from the Galician Government (grant ED431C 2022/47, including FEDER financial support). Á. Leitao, A. Manzano and C. Vázquez also acknowledge the support from CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the FEDER Galicia 2021-27 operational program (Ref. ED431G 2023/01).es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2022/47es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2023/01es_ES
dc.identifier.citationManzano, A., Ferro, G., Leitao, Á. et al. Alternative pipeline for option pricing using quantum computers. EPJ Quantum Technol. 12, 28 (2025). https://doi.org/10.1140/epjqt/s40507-025-00328-3es_ES
dc.identifier.doi10.1140/epjqt/s40507-025-00328-3
dc.identifier.issn2196-0763
dc.identifier.urihttp://hdl.handle.net/2183/41752
dc.language.isoenges_ES
dc.publisherSpringerOpenes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/951821es_ES
dc.relation.urihttps://doi.org/10.1140/epjqt/s40507-025-00328-3es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectOption pricinges_ES
dc.subjectQuantum Accelerated Monte Carloes_ES
dc.subjectAmplitud Estimationes_ES
dc.titleAlternative pipeline for option pricing using quantum computerses_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication537a5f9b-4679-4e65-bfa5-c15d90d5ac1c
relation.isAuthorOfPublicationdbc2be8e-6741-46b3-a22e-b648eae643d4
relation.isAuthorOfPublication.latestForDiscovery537a5f9b-4679-4e65-bfa5-c15d90d5ac1c

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