zeldredge / py-nqsLinks
Python code for Neural Network Quantum States in the Carleo, Troyer style
☆12Updated 6 years ago
Alternatives and similar repositories for py-nqs
Users that are interested in py-nqs are comparing it to the libraries listed below
Sorting:
- Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…☆32Updated 7 years ago
- Pytorch Implementation of Real Space Quantum Monte Carlo Simulations of Molecular Systems☆28Updated 3 months ago
- Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".☆40Updated 3 years ago
- A library combining solid quantum Monte Carlo and neural network.☆43Updated 8 months ago
- ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"☆39Updated 3 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆52Updated 3 years ago
- Mathematical Introduction to Electronic Structure Theory☆47Updated 6 years ago
- DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…☆58Updated 4 months ago
- Quantum 290 Seminar from 2020 Fall - ongoing☆35Updated this week
- Python library for real space quantum Monte Carlo☆92Updated last month
- GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine l…☆104Updated last year
- Files for QMC Workshop 2021☆57Updated 3 years ago
- The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics…☆40Updated 2 months ago
- Flexible, general-purpose VMC framework, built on JAX.☆27Updated 4 months ago
- Computational graph states for variational monte carlo☆16Updated 6 years ago
- Code for predicting ground state properties using new ML model.☆11Updated last year
- Quantum dynamics package based on tensor network states☆62Updated 2 weeks ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆38Updated 4 years ago
- ☆55Updated 11 months ago
- PySCF with auto-differentiation☆84Updated 2 weeks ago
- Monte Carlo simulation on 2D XY-model☆25Updated 6 years ago
- Quantum ground states from Reinforcement Learning☆16Updated 5 years ago
- Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.☆19Updated 4 years ago
- variational free-energy of dense hydrogen☆13Updated last year
- QMCPACK Users Workshop 2019☆13Updated 6 years ago
- Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)☆114Updated 3 years ago
- Open collaboration of the Quantum Bootcamp 2020☆34Updated 5 years ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆14Updated 4 years ago
- A full-stack, cross-platform software for generating, compiling, and executing quantum circuits for simulating quantum many-body dynamics…☆17Updated 4 years ago
- A fully autodifferentiable and variational HF☆42Updated 5 years ago