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Application of Classical and Quantum Machine Learning in the Study of Open Quantum Systems and Non-Markovian Dynamics

Grant number: 23/07661-4
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): September 01, 2023
Effective date (End): August 31, 2025
Field of knowledge:Physical Sciences and Mathematics - Physics - Atomic and Molecular Physics
Principal Investigator:Felipe Fernandes Fanchini
Grantee:João Victor Shiguetsugo Kawanami Lima
Host Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil

Abstract

With a focus on the study of open quantum systems and non-Markovian models, this research project aims to utilize machine learning techniques to explore and quantify the non-Markovianity of these systems. We will investigate the application of classical machine learning techniques in order to measure the degree of non-Markovianity of a process. In parallel, an in-depth study of quantum machine learning techniques will be conducted, with the intention of implementing them to further enhance the analysis of non-Markovianity.

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