li012589 / neuralCT
Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
☆29Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for neuralCT
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆31Updated 2 years ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 3 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆22Updated last year
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆12Updated 3 years ago
- Mathematical Introduction to Electronic Structure Theory☆41Updated 5 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆34Updated 5 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆24Updated 5 months ago
- ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"☆34Updated 2 years ago
- Bayesian tensor network☆19Updated 4 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- Dump a quantum circuit in Yao to a tensor network graphical model☆11Updated 3 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 5 years ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 2 weeks ago
- variational free-energy of dense hydrogen☆11Updated last year
- Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".☆37Updated 2 years ago
- PhysicsML Blog☆28Updated 3 years ago
- Computational graph states for variational monte carlo☆15Updated 5 years ago
- Julia library for quantum circuit simulation using tensor networks☆15Updated 4 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- Neural Monte Carlo Renormalization Group☆15Updated 4 years ago
- A method which combines quantum many-body calculation and unbiased optimizers to automatically learn effective Hamiltonians for quantum m…☆24Updated 2 years ago
- A neural network quantum ground state solver☆26Updated 7 years ago
- Pytorch Implementation of Real Space Quantum Monte Carlo Simulations of Molecular Systems☆23Updated 10 months ago
- ☆18Updated 7 years ago
- This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)☆18Updated 2 years ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆28Updated 5 months ago
- ☆16Updated 2 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Updated 4 years ago
- ☆23Updated 3 years ago
- Hierarchical variational models for physics.☆18Updated 4 years ago