Alternative pipeline for option pricing using quantum computers
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Matemáticas | es_ES |
| UDC.endPage | 35 | es_ES |
| UDC.grupoInv | Modelos e Métodos Numéricos en Enxeñaría e Ciencias Aplicadas (M2NICA) | es_ES |
| UDC.institutoCentro | CITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación | es_ES |
| UDC.issue | 28 | es_ES |
| UDC.journalTitle | EPJ Quantum Technology | es_ES |
| UDC.startPage | 1 | es_ES |
| UDC.volume | 12 | es_ES |
| dc.contributor.author | Manzano, Alberto | |
| dc.contributor.author | Ferro, Gonzalo | |
| dc.contributor.author | Leitao, Álvaro | |
| dc.contributor.author | Vázquez, Carlos | |
| dc.contributor.author | Gómez Tato, Andrés | |
| dc.date.accessioned | 2025-04-15T09:20:47Z | |
| dc.date.available | 2025-04-15T09:20:47Z | |
| dc.date.issued | 2025 | |
| 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.sponsorship | All 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.sponsorship | Xunta de Galicia; ED431C 2022/47 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G 2023/01 | es_ES |
| dc.identifier.citation | Manzano, 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/s40507-025-00328-3 | es_ES |
| dc.identifier.doi | 10.1140/epjqt/s40507-025-00328-3 | |
| dc.identifier.issn | 2196-0763 | |
| dc.identifier.uri | http://hdl.handle.net/2183/41752 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | SpringerOpen | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/951821 | es_ES |
| dc.relation.uri | https://doi.org/10.1140/epjqt/s40507-025-00328-3 | es_ES |
| dc.rights | Atribución 4.0 Internacional | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
| dc.subject | Option pricing | es_ES |
| dc.subject | Quantum Accelerated Monte Carlo | es_ES |
| dc.subject | Amplitud Estimation | es_ES |
| dc.title | Alternative pipeline for option pricing using quantum computers | es_ES |
| dc.type | journal article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 537a5f9b-4679-4e65-bfa5-c15d90d5ac1c | |
| relation.isAuthorOfPublication | dbc2be8e-6741-46b3-a22e-b648eae643d4 | |
| relation.isAuthorOfPublication.latestForDiscovery | 537a5f9b-4679-4e65-bfa5-c15d90d5ac1c |
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