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Variational Monte Carlo
Variational Monte Carlo
Variational methods for quantum physics
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Showing 26–50 of 55 papers
Title
Date
Tasks
Status
Hype
Score
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators
Mar 19, 2023
Stochastic Optimization
Variational Inference
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Unverified
0
0
Rayleigh-Gauss-Newton optimization with enhanced sampling for variational Monte Carlo
Jun 19, 2021
Variational Monte Carlo
—
Unverified
0
0
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry
Nov 6, 2024
Variational Monte Carlo
—
Unverified
0
0
Certified variational quantum algorithms for eigenstate preparation
Jun 23, 2020
Variational Monte Carlo
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Unverified
0
0
Toward Neural Network Simulation of Variational Quantum Algorithms
Nov 5, 2022
Neural Network simulation
Stochastic Optimization
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Unverified
0
0
Towards Neural Variational Monte Carlo That Scales Linearly with System Size
Dec 21, 2022
Quantization
Variational Monte Carlo
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Unverified
0
0
Understanding and eliminating spurious modes in variational Monte Carlo using collective variables
Nov 11, 2022
Variational Monte Carlo
—
Unverified
0
0
Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural Wavefunctions
Jul 15, 2023
Variational Monte Carlo
—
Unverified
0
0
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
Jul 4, 2020
reinforcement-learning
Reinforcement Learning
—
Unverified
0
0
Neural Wave Functions for Superfluids
May 11, 2023
Variational Monte Carlo
—
Unverified
0
0
Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems
Apr 8, 2025
Variational Monte Carlo
—
Unverified
0
0
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization
Jun 18, 2020
Variational Inference
Variational Monte Carlo
—
Unverified
0
0
An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States
Jun 18, 2022
Variational Monte Carlo
—
Unverified
0
0
A Theoretical Framework for an Efficient Normalizing Flow-Based Solution to the Electronic Schrodinger Equation
May 28, 2024
Point Processes
Variational Monte Carlo
—
Unverified
0
0
Convergence of variational Monte Carlo simulation and scale-invariant pre-training
Mar 21, 2023
Variational Monte Carlo
—
Unverified
0
0
Convergence to the fixed-node limit in deep variational Monte Carlo
Oct 11, 2020
Variational Monte Carlo
—
Unverified
0
0
DeepQuark: deep-neural-network approach to multiquark bound states
Jun 25, 2025
Variational Monte Carlo
—
Unverified
0
0
Determinant-free fermionic wave function using feed-forward neural networks
Aug 19, 2021
Variational Monte Carlo
—
Unverified
0
0
Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation
Feb 7, 2025
Data Augmentation
Variational Monte Carlo
—
Unverified
0
0
Discovering Quantum Phase Transitions with Fermionic Neural Networks
Feb 10, 2022
Variational Monte Carlo
—
Unverified
0
0
Electronic excited states in deep variational Monte Carlo
Mar 17, 2022
Variational Monte Carlo
—
Unverified
0
0
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
Nov 6, 2022
Variational Monte Carlo
—
Unverified
0
0
Generalized Lanczos method for systematic optimization of neural-network quantum states
Feb 3, 2025
reinforcement-learning
Reinforcement Learning
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Unverified
0
0
Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization
May 17, 2025
Variational Monte Carlo
—
Unverified
0
0
Is attention all you need to solve the correlated electron problem?
Feb 7, 2025
All
Variational Monte Carlo
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Unverified
0
0
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