dc.creator | Lamata Manuel, Lucas | es |
dc.date.accessioned | 2021-02-09T10:43:57Z | |
dc.date.available | 2021-02-09T10:43:57Z | |
dc.date.issued | 2021-01 | |
dc.identifier.citation | Lamata Manuel, L. (2021). Quantum Reinforcement Learning with Quantum Photonics. Photonics, 8 (2), 33. | |
dc.identifier.issn | 2304-6732 | es |
dc.identifier.uri | https://hdl.handle.net/11441/104764 | |
dc.description.abstract | Quantum machine learning has emerged as a promising paradigm that could accelerate
machine learning calculations. Inside this field, quantum reinforcement learning aims at designing
and building quantum agents that may exchange information with their environment and adapt
to it, with the aim of achieving some goal. Different quantum platforms have been considered for
quantum machine learning and specifically for quantum reinforcement learning. Here, we review
the field of quantum reinforcement learning and its implementation with quantum photonics. This
quantum technology may enhance quantum computation and communication, as well as machine
learning, via the fruitful marriage between these previously unrelated fields | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades. Gobierno de España-PGC2018-095113-B-I00, PID2019-104002GB-C21 y PID2019- 104002GB-C22 | es |
dc.format | application/pdf | es |
dc.format.extent | 8 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Photonics, 8 (2), 33. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | quantum machine learning | es |
dc.subject | quantum reinforcement learning | es |
dc.subject | quantum photonics | es |
dc.subject | quantum technologies | es |
dc.subject | quantum communication | es |
dc.title | Quantum Reinforcement Learning with Quantum Photonics | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Física Atómica, Molecular y Nuclear | es |
dc.relation.projectID | PGC2018-095113-B-I00 | es |
dc.relation.projectID | PID2019-104002GB-C21 | es |
dc.relation.projectID | PID2019- 104002GB-C22 | es |
dc.relation.publisherversion | https://doi.org/10.3390/photonics8020033 | es |
dc.identifier.doi | 10.3390/photonics8020033 | es |
dc.journaltitle | Photonics | es |
dc.publication.volumen | 8 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | 33 | es |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |
dc.contributor.funder | Agencia Estatal de Investigación. España | es |
dc.contributor.funder | European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) | es |