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Variational Monte Carlo

Variational methods for quantum physics

Papers

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TitleStatusHype
Convergence of variational Monte Carlo simulation and scale-invariant pre-training—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
Electronic excited states in deep variational Monte Carlo—0
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation—0
Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization—0
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry—0
O(N^2) Universal Antisymmetry in Fermionic Neural Networks—0
Open-Source Fermionic Neural Networks with Ionic Charge Initialization—0
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