Machine learning meets quantum matter


  • Juan Felipe Carrasquilla Vector Institute, Toronto, Canada


Quantum matter, the research field studying phases of matter whose properties are intrinsically quantum mechanical, draws from areas as diverse as hard condensed matter physics, materials science, statistical mechanics, quantum information, and large-scale numerical simulations. Recently, researchers interested in condensed matter physics have turned their attention to the algorithms underlying modern machine learning, with an eye on making progress in their fields. In this talk, I will discuss a series of recent developments related to the adaptation of machine learning ideas for the purpose of advancing research in quantum matter, including our works on algorithms that recognize phases of matter, representations of quantum states in terms of neural networks and their applications to the simulation of quantum phases of matter and benchmarking of quantum devices. I will also discuss future directions in areas at the intersection between machine learning and quantum many-body physics.

About the Speaker

Juan Felipe Carrasquilla, Vector Institute, Toronto, Canada

Juan Carrasquilla's research interests are at the intersection of condensed matter physics, quantum computing, and machine learning. Juan combines quantum Monte Carlo simulations and machine learning techniques to analyze the collective behavior of quantum many-body systems. Applications of these ideas include the identification of phases of matter in numerical simulations and experiments, as well as the validation of near-term quantum devices and quantum simulations of condensed matter systems. He completed his Ph.D. in Physics at SISSA, the International School for Advanced Studies in Italy. He has since held positions as a Postdoctoral Fellow at Georgetown University, Visiting Research Scholar at Penn State University, and Postdoctoral Fellow at the Perimeter Institute. Juan was a Research Scientist at D-Wave Systems Inc. in Burnaby, British Columbia, and since 2017 he has been a full-time researcher at the Vector Institute.



Article ID



Invited Presentations



How to Cite

JF Carrasquilla, Machine learning meets quantum matter, Proceedings of the Samahang Pisika ng Pilipinas 39, SPP-2021-INV-3C-01 (2021). URL: