Excited states in variational Monte Carlo using a penalty method
ORAL
Abstract
Finding excited states has been a long-standing challenge in variational Monte Carlo for interacting systems. While there has been notable progress on this front, existing algorithms either do not allow for optimization of all wave function parameters, can have trouble to converging to the correct state as recently shown by Filippi and coworkers, or miss degenerate states. We present an algorithm based on orthogonalization to the ground state that resolves these difficulties in the limit as the wave function parameterization becomes complete. We show an application to the benzene molecule, in which ~10,000 parameters are optimized for the first 12 excited states.
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Presenters
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Shivesh Pathak
University of Illinois at Urbana-Champaign
Authors
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Shivesh Pathak
University of Illinois at Urbana-Champaign
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Brian Busemeyer
Center for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, NY 10010, Simons Foundation, Flatiron Institute
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Jo?o N. B. Rodrigues
University ABC, Federal University of ABC
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Lucas Wagner
University of Illinois at Urbana-Champaign, University of Illinois Urbana-Champaign