li012589 / neuralCT
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
- Autoregressive model for solving statistical mechanics problems☆11Updated 4 years ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆14Updated 4 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆35Updated 6 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆32Updated 2 years ago
- Bayesian tensor network☆20Updated 5 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆22Updated last year
- Dump a quantum circuit in Yao to a tensor network graphical model☆11Updated 4 years ago
- Neural Monte Carlo Renormalization Group☆15Updated 4 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- This repository contains lectures on Many-body physics and Machine Learning☆13Updated 3 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Updated 4 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆26Updated this week
- ☆29Updated 4 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 5 years ago
- Differentiable Tensor Renormalization Group for square Ising☆17Updated 6 years ago
- 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 3 weeks ago
- Julia library for quantum circuit simulation using tensor networks☆16Updated 5 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
- Numerically represent quantum states with Restricted Boltzmann Machines☆25Updated 6 years ago
- ☆23Updated 3 years ago
- A collection of lectures and tutorials☆18Updated 9 months ago
- This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)☆18Updated 2 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆28Updated last month
- A neural network quantum ground state solver☆26Updated 7 years ago
- Mathematical Introduction to Electronic Structure Theory☆45Updated 6 years ago
- WuLiXueBao magazine article - automatic differentiation.☆15Updated 3 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆12Updated 4 years ago
- A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…☆31Updated 2 years ago
- Computational graph states for variational monte carlo☆15Updated 5 years ago