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Variational Monte Carlo

Variational methods for quantum physics

Papers

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Showing 26–50 of 55 papers

TitleStatusHype
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
Pairing-based graph neural network for simulating quantum materials—0
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators—0
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo—0
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry—0
Certified variational quantum algorithms for eigenstate preparation—0
Toward Neural Network Simulation of Variational Quantum Algorithms—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
Variational Policy Gradient Method for Reinforcement Learning with General Utilities—0
Neural-network quantum state study of the long-range antiferromagnetic Ising chain—0
Neural network quantum state with proximal optimization: a ground-state searching scheme based on variational Monte Carlo—0
Neural network wave functions and the sign problem—0
Neural Wave Functions for Superfluids—0
Natural evolution strategies and variational Monte CarloCode0
Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatzCode0
From Tensor Network Quantum States to Tensorial Recurrent Neural NetworksCode0
Continuous-variable neural-network quantum states and the quantum rotor modelCode0
Unbiased Monte Carlo Cluster Updates with Autoregressive Neural NetworksCode0
Variational optimization of the amplitude of neural-network quantum many-body ground statesCode0
Discovering Quantum Phase Transitions with Fermionic Neural NetworksCode0
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