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
• Start date: September 01, 2023
• End date: November 30, 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
• Associated scholarship(s): 24/15741-0 - Quantum Machine Learning for Non-Markovianity Estimation in Open Quantum Systems using Variational Quantum Circuits, BE.EP.IC

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.