Juan Carrasquilla Alvarez, University of Waterloo

Research

computational condensed matter physics deep learning generative models learning quantum states machine learning quantum computing Quantum many-body physics Quantum Monte Carlo

Latest funding

Cross-fertilizing machine learning and synthetic quantum systems
NSERC · 2019 · Principal investigator
$145,000
Cross-fertilizing machine learning and synthetic quantum systems
NSERC · 2019 · Principal investigator
$12,500

All 2 grants and awards

Cross-fertilizing machine learning and synthetic quantum systems

Principal investigatorNSERC2019Discovery Grants Program - Individual

Principal investigators: Carrasquilla Alvarez, Juan

Keywords: computational condensed matter physics; deep learning; generative models; learning quantum states; machine learning; quantum computing; Quantum many-body physics; Quantum Monte Carlo; Tensor networks

$145,000

Cross-fertilizing machine learning and synthetic quantum systems

Principal investigatorNSERC2019Discovery Launch Supplement

Principal investigators: CarrasquillaAlvarez, Juan

$12,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2019

Subject: Prospective PhD student: computational condensed matter physics Dear Professor Carrasquilla Alvarez, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on computational condensed matter physics connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Cross-fertilizing machine learning and synthetic quantum systems" (2019), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]