li012589 / neuralCTLinks
Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
☆29Updated 5 years ago
Alternatives and similar repositories for neuralCT
Users that are interested in neuralCT are comparing it to the libraries listed below
Sorting:
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Updated 2 years ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 4 years ago
- Bayesian tensor network☆21Updated 5 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆23Updated 2 years ago
- Dump a quantum circuit in Yao to a tensor network graphical model☆11Updated 4 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆78Updated 5 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆36Updated 6 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆26Updated 2 months ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆93Updated last month
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 4 months ago
- Neural Monte Carlo Renormalization Group☆15Updated 4 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆38Updated 4 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆13Updated 4 years ago
- Computational graph states for variational monte carlo☆16Updated 5 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆51Updated 3 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆32Updated 4 months ago
- This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)☆19Updated 2 years ago
- ☆26Updated 4 years ago
- Quantum ground states from Reinforcement Learning☆16Updated 5 years ago
- Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model☆29Updated 7 years ago
- ☆31Updated 5 years ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆14Updated 4 years ago
- A neural network quantum ground state solver☆26Updated 8 years ago
- A method which combines quantum many-body calculation and unbiased optimizers to automatically learn effective Hamiltonians for quantum m…☆24Updated 3 years ago
- Mathematical Introduction to Electronic Structure Theory☆46Updated 6 years ago
- ☆19Updated 8 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- Monte Carlo simulation on 2D XY-model☆24Updated 5 years ago
- Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.☆11Updated 3 years ago