Quantum Monte Carlo Methods Professors in Global

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Mike Giles
University of Oxford United Kingdom
monte carlo methods
multilevel monte carlo methods
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Jim Morel
Texas A&M University United States of America
monte carlo methods
multiphysics methods
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James Scott
University of Texas at Austin United States of America
monte carlo methods
mcmc methods
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Yuling Yao
University of Texas at Austin United States of America
monte carlo methods
mcmc methods
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Vincenzo Lipardi
Maastricht University Netherlands
monte carlo methods
quantum machine learning
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Juebei Chen
Aalborg University Denmark
quantitative methods
q methodology
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Antonio Linero
University of Texas at Austin United States of America
mcmc methods
monte carlo
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Mevin Hooten
University of Texas at Austin United States of America
mcmc methods
monte carlo
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Wenyuan Wang
University of Calgary Canada
quantum machine learning
quantum metrology
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Matthew Foulkes
Imperial College London United Kingdom
quantum monte carlo methods
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Kristen Fichthorn
Pennsylvania State University United States of America
monte carlo methods
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Irina Paci
University of Victoria Canada
monte carlo methods
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Paul Jenkins
University of Warwick United Kingdom
monte carlo methods
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Ankush Agarwal
Western University Canada
monte carlo methods
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Aaron Morris
Purdue University United States of America
monte carlo methods
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Brian Kiedrowski
University of Michigan United States of America
monte carlo methods
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Russel Caflisch
New York University United States of America
monte carlo methods
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Geoff Nicholls
University of Oxford United Kingdom
monte carlo methods
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Fabio D'andrea
University of Manchester United Kingdom
monte carlo methods
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Brian Adams
Penn State Harrisburg United States of America
monte carlo methods
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Michael Lindsey
University of California, Berkeley United States of America
monte carlo methods
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