Non-Markovianity Estimation with Quantum Machine Learning

• Grant number: 24/20249-8
• 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 - Atomic and Molecular Physics
• Principal Investigator: Felipe Fernandes Fanchini
• Grantee: Felipe Peleteiro de Souza
• 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: 23/07660-8 - Exploring Non-Markovianity in Open Quantum Systems through Classical and Quantum Machine Learning Techniques., BP.IC

Abstract

This research project is designed to enhance the student's understanding of quantum machine learning, with a focus on using variational quantum circuits to estimate non-Markovianity in open quantum systems. Over a three-month exchange, the student will learn to set up and optimize these circuits, as well as explore quantum kernels to better analyze interactions between qubits and their environment. The skills gained will support the student's ongoing and future research, helping advance quantum computing and information.