Skip to content
CIFAR header logo
fr
menu_mobile_logo_alt
  • News
  • Events
    • Public Events
    • Invitation-only Meetings
  • Programs
    • Research Programs
    • Pan-Canadian AI Strategy
    • Next Generation Initiatives
  • People
    • Fellows & Advisors
    • CIFAR Azrieli Global Scholars
    • Canada CIFAR AI Chairs
    • AI Strategy Leadership
    • Solution Network Members
    • Leadership
  • Support Us
  • About
    • Our Story
    • CIFAR 40
    • Awards
    • Partnerships
    • Publications & Reports
    • Careers
    • Staff Directory
    • Equity, Diversity & Inclusion
  • fr
  • Home
  • Bio

Follow Us

juan-carrasquilla2

Juan Felipe Carrasquilla Álvarez

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

Connect

University of Waterloo

Google Scholar

About

Juan Carrasquilla is a Canada CIFAR AI Chair at the Vector Institute and an adjunct assistant professor at the department of Physics & Astronomy at the University of Waterloo

Carrasquilla’s research interests are at the intersection of condensed matter physics, quantum computing, and machine learning. He combines quantum Monte Carlo simulations and machine learning techniques to analyze the collective behaviour 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.

Awards

  • Perimeter Institute Visiting Fellow, 2017— present
  • Perimeter Institute Postdoctoral Fellow, 2013-2016
  • Georgetown University Postdoctoral Fellow, 2011-2013
  • International School for Advanced studies PhD Fellow, 2006-2010
  • The Abdus Salam ICTP Diploma Programme Fellow, 2005-2006

Relevant Publications

  • Hibat-Allah, M., Ganahl, M., Hayward, L. E., Melko, R. G., & Carrasquilla, J. (2020). Recurrent neural network wave functions. Physical Review Research, 2(2), 023358.

  • Carrasquilla, J. (2020). Machine learning for quantum matter. Advances in Physics: X, 5(1), 1797528.

  • Carrasquilla, J., Torlai, G., Melko, R. G., & Aolita, L. (2019). Reconstructing quantum states with generative models. Nature Machine Intelligence, 1(3), 155-161.

  • Melko, R. G., Carleo, G., Carrasquilla, J., & Cirac, J. I. (2019). Restricted Boltzmann machines in quantum physics. Nature Physics, 15(9), 887-892.

  • Carrasquilla, J., & Melko, R. G. (2017). Machine learning phases of matter. Nature Physics, 13(5), 431-434.

Institution

University of Waterloo

Vector Institute

Department

Physics & Astronomy

Education

  • PhD (Physics), International School for Advanced Studies (SISSA)

Country

Canada

Support Us

CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.

Donate Now
CIFAR header logo

MaRS Centre, West Tower
661 University Ave., Suite 505
Toronto, ON M5G 1M1 Canada

Contact Us
Media
Careers
Accessibility Policies
Supporters
Financial Reports
Subscribe

  • © Copyright 2023 CIFAR. All Rights Reserved.
  • Charitable Registration Number: 11921 9251 RR0001
  • Terms of Use
  • Privacy
  • Sitemap

Subscribe

Stay up to date on news & ideas from CIFAR.

This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy Policy.
Accept Learn more