Quantum neural networks with multi-qubit potentials
dc.contributor.author | Ban, Yue | |
dc.contributor.author | Torrontegui, E. | |
dc.contributor.author | Casanova Marcos, Jorge | |
dc.date.accessioned | 2023-07-03T16:56:32Z | |
dc.date.available | 2023-07-03T16:56:32Z | |
dc.date.issued | 2023-06 | |
dc.identifier.citation | Scientific Reports 13 : (2023) // Article ID 9096 | es_ES |
dc.identifier.issn | 2045-2322 | |
dc.identifier.uri | http://hdl.handle.net/10810/61857 | |
dc.description.abstract | We propose quantum neural networks that include multi-qubit interactions in the neural potential leading to a reduction of the network depth without losing approximative power. We show that the presence of multi-qubit potentials in the quantum perceptrons enables more efficient information processing tasks such as XOR gate implementation and prime numbers search, while it also provides a depth reduction to construct distinct entangling quantum gates like CNOT, Toffoli, and Fredkin. This simplification in the network architecture paves the way to address the connectivity challenge to scale up a quantum neural network while facilitating its training. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Nature | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/820505 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/820363 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/828826 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/RYC2020-030060-I | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2021-126694NA-C22 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICIU/RYC2018-025197-I | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2021-126694NB-C21 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.title | Quantum neural networks with multi-qubit potentials | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creativecommons. org/ licenses/ by/4. 0/. | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://www.nature.com/articles/s41598-023-35867-1 | es_ES |
dc.identifier.doi | 10.1038/s41598-023-35867-1 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Química física | es_ES |
dc.departamentoeu | Kimika fisikoa | es_ES |
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the copyright holder. To view a copy of this licence, visit http:// creativecommons. org/ licenses/ by/4. 0/.