Research

My research interests broadly span:

• Quantum Information Science
• Machine Learning
• Optimization

I am particularly interested in developing hybrid quantum-classical machine learning models and optimization methods to uncover and leverage key quantum properties in magnetic materials. I am also keen on the potential of combining AI with quantum technologies to provide innovative solutions for addressing combinatorially complex challenges across various fields, including:

• Finance
• Logistics
• Healthcare

In general, my research focuses on characterizing, modeling, simulating, and discovering optimal solid-state nanostructures for quantum information processing and quantum communication. The realization and understanding of non-classical correlations, particularly quantum entanglement and Bell-type non-locality, with an emphasis on many-particle solid-state systems, play significant roles in my investigations.