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Variational Monte Carlo

Variational methods for quantum physics

Papers

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Showing 1–50 of 55 papers

TitleStatusHype
Transferable Neural Wavefunctions for SolidsCode2
Accurate Computation of Quantum Excited States with Neural NetworksCode2
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctionsCode1
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte CarloCode1
Towards a Foundation Model for Neural Network WavefunctionsCode1
Variational Monte Carlo Approach to Partial Differential Equations with Neural NetworksCode1
NetKet 3: Machine Learning Toolbox for Many-Body Quantum SystemsCode1
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulationCode1
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave FunctionsCode1
Autoregressive neural-network wavefunctions for ab initio quantum chemistryCode1
Solving Statistical Mechanics Using Variational Autoregressive NetworksCode1
Spectral Inference Networks: Unifying Deep and Spectral LearningCode1
DeepQuark: deep-neural-network approach to multiquark bound states—0
Hyperbolic recurrent neural network as the first type of non-Euclidean neural quantum state ansatzCode0
Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization—0
Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems—0
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation—0
Is attention all you need to solve the correlated electron problem?—0
Generalized Lanczos method for systematic optimization of neural-network quantum states—0
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry—0
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrodinger Equation—0
Ab-initio variational wave functions for the time-dependent many-electron Schrödinger equationCode0
Open-Source Fermionic Neural Networks with Ionic Charge Initialization—0
Pairing-based graph neural network for simulating quantum materials—0
Neural-network quantum state study of the long-range antiferromagnetic Ising chain—0
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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