Using a feedback-based quantum algorithm to analyze the critical properties of the ANNNI model without classical optimization

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorQuaTI - Quantum Technology & Information-
Autor(es): dc.creatorPexe, G. E.L.-
Autor(es): dc.creatorRattighieri, L. A.M.-
Autor(es): dc.creatorMalvezzi, A. L.-
Autor(es): dc.creatorFanchini, F. F.-
Data de aceite: dc.date.accessioned2025-08-21T20:40:30Z-
Data de disponibilização: dc.date.available2025-08-21T20:40:30Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-11-30-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1103/PhysRevB.110.224422-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308878-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308878-
Descrição: dc.descriptionWe investigate the critical properties of the Anisotropic Next-Nearest-Neighbor Ising (ANNNI) model using a feedback-based quantum algorithm (FQA). We demonstrate how this algorithm enables the computation of both ground and excited states without relying on classical optimization methods. By exploiting symmetries in the algorithm initialization, we show how targeted initial states can increase convergence and facilitate the study of excited states. Using this approach, we study the quantum phase transitions with the Finite Size Scaling method, analyze correlation functions through spin correlations in the ground state, and examine magnetic structure by calculating structure factors via the Discrete Fourier Transform. Our findings highlight FQAs potential as a versatile tool for studying not only the ANNNI model but also other quantum systems, providing insights into quantum phase transitions and the magnetic properties of complex spin models.-
Descrição: dc.descriptionFaculty of Sciences UNESP - São Paulo State University, SP-
Descrição: dc.descriptionQuaTI - Quantum Technology & Information, SP-
Descrição: dc.descriptionFaculty of Sciences UNESP - São Paulo State University, SP-
Idioma: dc.languageen-
Relação: dc.relationPhysical Review B-
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Título: dc.titleUsing a feedback-based quantum algorithm to analyze the critical properties of the ANNNI model without classical optimization-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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