Quantum Machine Learning for Non-Markovianity Estimation in Open Quantum Systems using Variational Quantum Circuits

• Grant number: 24/15741-0
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• Start date: December 16, 2024
• End date: March 15, 2025
• Field of knowledge: Physical Sciences and Mathematics - Physics
• Principal Investigator: Felipe Fernandes Fanchini
• Grantee: João Victor Shiguetsugo Kawanami Lima
• Supervisor: Ariel Ignacio Norambuena Zamorano
• Host Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
• Institution abroad: Universidad Mayor, Campus Huechuraba, Chile
• Associated to the scholarship: 23/07661-4 - Application of Classical and Quantum Machine Learning in the Study of Open Quantum Systems and Non-Markovian Dynamics, BP.IC

Abstract

This research project aims to deepen the student's knowledge in quantum machine learning, focusing on the implementation of variational quantum circuits to estimate the degree of non-Markovianity in open quantum systems. During the three-month exchange, the student will learn how to configure and optimize variational quantum circuits, in addition to exploring the use of quantum kernels to improve the analysis of qubit-environment interactions. The experience gained will be fundamental for the application of these techniques in their current and future research, contributing to the advancement of quantum computing and information.