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Variational Monte Carlo

Variational methods for quantum physics

Papers

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Showing 26–50 of 55 papers

TitleStatusHype
Variational optimization of the amplitude of neural-network quantum many-body ground statesCode0
Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural WavefunctionsCode0
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry—0
Neural Wave Functions for Superfluids—0
Convergence of variational Monte Carlo simulation and scale-invariant pre-training—0
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators—0
Towards Neural Variational Monte Carlo That Scales Linearly with System Size—0
Understanding and eliminating spurious modes in variational Monte Carlo using collective variables—0
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation—0
Toward Neural Network Simulation of Variational Quantum Algorithms—0
Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo—0
From Tensor Network Quantum States to Tensorial Recurrent Neural NetworksCode0
An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States—0
O(N^2) Universal Antisymmetry in Fermionic Neural Networks—0
Machine learning predictions for local electronic properties of disordered correlated electron systems—0
Electronic excited states in deep variational Monte Carlo—0
Discovering Quantum Phase Transitions with Fermionic Neural NetworksCode0
Determinant-free fermionic wave function using feed-forward neural networks—0
Continuous-variable neural-network quantum states and the quantum rotor modelCode0
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo—0
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural NetworksCode0
Meta Variational Monte Carlo—0
Convergence to the fixed-node limit in deep variational Monte CarloCode0
Variational Policy Gradient Method for Reinforcement Learning with General Utilities—0
Certified variational quantum algorithms for eigenstate preparation—0
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