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Variational Monte Carlo

Variational methods for quantum physics

Papers

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Showing 21–30 of 55 papers

TitleStatusHype
An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States—0
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrodinger Equation—0
Convergence of variational Monte Carlo simulation and scale-invariant pre-training—0
Convergence to the fixed-node limit in deep variational Monte Carlo—0
DeepQuark: deep-neural-network approach to multiquark bound states—0
Determinant-free fermionic wave function using feed-forward neural networks—0
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation—0
Discovering Quantum Phase Transitions with Fermionic Neural Networks—0
Electronic excited states in deep variational Monte Carlo—0
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators—0
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