Quantum circuit synthesis using projective simulation

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorPires, Otto Menegasso-
Autor(es): dc.creatorDuzzioni, Eduardo Inacio-
Autor(es): dc.creatorMarchi, Jerusa-
Autor(es): dc.creatorSantiago, Rafael de-
Data de aceite: dc.date.accessioned2026-02-09T11:10:28Z-
Data de disponibilização: dc.date.available2026-02-09T11:10:28Z-
Data de envio: dc.date.issued2022-02-14-
Data de envio: dc.date.issued2022-02-14-
Data de envio: dc.date.issued2020-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/49327-
Fonte completa do material: dc.identifierhttps://journal.iberamia.org/index.php/intartif/article/view/586-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1135293-
Descrição: dc.descriptionQuantum Computing has been evolving in the last years. Although nowadays quantum algorithms performance has shown superior to their classical counterparts, quantum decoherence and additional auxiliary qubits needed for error tolerance routines have been huge barriers for quantum algorithms efficient use. These restrictions lead us to search for ways to minimize algorithms costs, i.e the number of quantum logical gates and the depth of the circuit. For this, quantum circuit synthesis and quantum circuit optimization techniques are explored. We studied the viability of using Projective Simulation, a reinforcement learning technique, to tackle the problem of quantum circuit synthesis. The agent had the task of creating quantum circuits up to 5 qubits. Our simulations demonstrated that the agent had a good performance but its capacity for learning new circuits decreased as the number of qubits increased.-
Idioma: dc.languageen-
Direitos: dc.rightsacesso aberto-
???dc.source???: dc.sourceInteligência Artificial-
Palavras-chave: dc.subjectMachine learning-
Palavras-chave: dc.subjectReinforcement learning-
Palavras-chave: dc.subjectProjective simulation-
Palavras-chave: dc.subjectQuantum circuit synthesis-
Título: dc.titleQuantum circuit synthesis using projective simulation-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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