Exploring Non-Markovianity in Open Quantum Systems through Classical and Quantum Machine Learning Techniques.

• Grant number: 23/07660-8
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: October 01, 2023
• End date: December 31, 2025
• Field of knowledge: Physical Sciences and Mathematics - Physics - Atomic and Molecular Physics
• Principal Investigator: Felipe Fernandes Fanchini
• Grantee: Felipe Peleteiro de Souza
• Host Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
• Associated scholarship(s): 24/20249-8 - Non-Markovianity Estimation with Quantum Machine Learning, BE.EP.IC

Abstract

This research project aims to explore the properties and behavior of open quantum systems and non-Markovian models. Within the scope of the study, the student will delve into classical machine learning techniques and their applications in measuring the degree of non-Markovianity in open quantum systems. Additionally, the project also focuses on the study and implementation of quantum machine learning techniques, seeking to expand the possibilities of investigating non-Markovianity through a quantum approach.