rodsveiga / rbm_flows_ising
Code for "Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models"
☆12Updated 4 years ago
Alternatives and similar repositories for rbm_flows_ising:
Users that are interested in rbm_flows_ising are comparing it to the libraries listed below
- ☆23Updated 3 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…☆31Updated last year
- Neural Monte Carlo Renormalization Group☆15Updated 4 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆50Updated 3 years ago
- Dump a quantum circuit in Yao to a tensor network graphical model☆11Updated 4 years ago
- Numerically represent quantum states with Restricted Boltzmann Machines☆25Updated 6 years ago
- Differentiable Tensor Renormalization Group for square Ising☆17Updated 5 years ago
- ☆17Updated 3 years ago
- ☆18Updated 5 years ago
- Bayesian tensor network☆19Updated 5 years ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆22Updated last year
- Autoregressive model for solving statistical mechanics problems☆11Updated 3 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 3 months ago
- This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)☆18Updated 2 years ago
- ☆18Updated 7 years ago
- MPS representation of RBM☆22Updated 6 years ago
- Fast tensor disentangling algorithm☆10Updated 3 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆32Updated 2 years ago
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆59Updated last week
- Mathematical Introduction to Electronic Structure Theory☆45Updated 6 years ago
- 290 seminar for 2020 fall - 2021 summer☆27Updated this week
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 4 years ago
- A neural network quantum ground state solver☆26Updated 7 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Updated 4 years ago
- ☆28Updated 4 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆75Updated 8 months ago
- A method which combines quantum many-body calculation and unbiased optimizers to automatically learn effective Hamiltonians for quantum m…☆24Updated 3 years ago
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆34Updated 4 years ago