Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States

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dc.contributor.authorLiu, Ruilin
dc.contributor.authorV. Romero, Sebastián
dc.contributor.authorOregi, Izaskun
dc.contributor.authorOsaba, Eneko
dc.contributor.authorVillar-Rodriguez, Esther
dc.contributor.authorBan, Yue
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionQuantum
dc.date.issued2022-10-25
dc.descriptionPublisher Copyright: © 2022 by the authors.
dc.description.abstractCoherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning, and quantum optics. In this article, two ways to digitally prepare coherent states in quantum circuits are introduced. First, we construct the displacement operator by decomposing it into Pauli matrices via ladder operators, i.e., creation and annihilation operators. The high fidelity of the digitally generated coherent states is verified compared with the Poissonian distribution in Fock space. Secondly, by using Variational Quantum Algorithms, we choose different ansatzes to generate coherent states. The quantum resources—such as numbers of quantum gates, layers and iterations—are analyzed for quantum circuit learning. The simulation results show that quantum circuit learning can provide high fidelity on learning coherent states by choosing appropriate ansatzes.en
dc.description.statusPeer reviewed
dc.format.extent1
dc.format.extent347055
dc.identifier.citationLiu , R , V. Romero , S , Oregi , I , Osaba , E , Villar-Rodriguez , E & Ban , Y 2022 , ' Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States ' , Entropy , vol. 24 , no. 11 , 1529 , pp. 1529 . https://doi.org/10.3390/e24111529
dc.identifier.doi10.3390/e24111529
dc.identifier.issn1099-4300
dc.identifier.otherresearchoutputwizard: 11556/1445
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85141776815&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofEntropy
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsDigital quantum simulation
dc.subject.keywordsQuantum circuit learning
dc.subject.keywordsCoherent state
dc.subject.keywordsDigital quantum simulation
dc.subject.keywordsQuantum circuit learning
dc.subject.keywordsCoherent state
dc.subject.keywordsInformation Systems
dc.subject.keywordsMathematical Physics
dc.subject.keywordsPhysics and Astronomy (miscellaneous)
dc.subject.keywordsElectrical and Electronic Engineering
dc.subject.keywordsFunding Info
dc.subject.keywordsThis research is funded by the QUANTEK project (ELKARTEK program from the Basque Government, expedient No. KK-2021/00070), the project “BRTA QUANTUM: Hacia una especialización armonizada en tecnologías cuánticas en BRTA” (expedient No. KK-2022/00041).
dc.subject.keywordsThis research is funded by the QUANTEK project (ELKARTEK program from the Basque Government, expedient No. KK-2021/00070), the project “BRTA QUANTUM: Hacia una especialización armonizada en tecnologías cuánticas en BRTA” (expedient No. KK-2022/00041).
dc.titleDigital Quantum Simulation and Circuit Learning for the Generation of Coherent Statesen
dc.typejournal article
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