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physics.comp-ph2022★ 19 cited
Mitigating the Hubbard Sign Problem with Complex-Valued Neural Networks
Marcel Rodekamp, Evan Berkowitz, Christoph Gäntgen +3
Monte Carlo simulations away from half-filling suffer from a sign problem that can be reduced by deforming the contour of integration. Such a transformation, which induces a Jacobi…
physics.comp-ph2019★ 8 cited
The Ising Model with Hybrid Monte Carlo
Johann Ostmeyer, Evan Berkowitz, Thomas Luu +2
The Ising model is a simple statistical model for ferromagnetism. There are analytic solutions for low dimensions and very efficient Monte Carlo methods, such as cluster algorithms…
physics.comp-ph2017★ 14 cited
METAQ: Bundle Supercomputing Tasks
Evan Berkowitz
We describe a light-weight system of bash scripts for efficiently bundling supercomputing tasks into large jobs, so that one can take advantage of incentives or discounts for reque…