GTorlai / CDL_RBM_Tutorial
Tutorial on machine learning many-body physics with Boltzmann machines
☆15Updated 7 years ago
Alternatives and similar repositories for CDL_RBM_Tutorial:
Users that are interested in CDL_RBM_Tutorial are comparing it to the libraries listed below
- Neural-network quantum state reconstruction (Qubits/Spin-1/2)☆12Updated 6 years ago
- MPS representation of RBM☆22Updated 7 years ago
- Self-explaining Matrix Product States library in Python☆20Updated last year
- Numerically represent quantum states with Restricted Boltzmann Machines☆25Updated 6 years ago
- ☆39Updated 5 years ago
- Bayesian tensor network☆20Updated 5 years ago
- Convolutional neural net to classify states of the classical Ising gauge theory (TensorFlow)☆10Updated 8 years ago
- variational quantum circuit simulator in Julia, under GPLv3☆32Updated 5 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- projected entangled pair of states (PEPS), the quantum version☆23Updated last month
- Dump a quantum circuit in Yao to a tensor network graphical model☆11Updated 4 years ago
- code for Unsupervised Generative Modeling using Matrix Product States☆42Updated 2 years ago
- fermionic Projected Entangled Pairs States (fPEPS)☆16Updated 6 years ago
- An implementation of "Supervised Learning with Quantum-Inspired Tensor Networks" using TensorFlow☆11Updated 6 years ago
- Quantum Many-body Toolkit (This repo is deprecated, and its components has been seperated to several projects under https://github.com/Qu…☆13Updated 6 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
- ☆12Updated last month
- Julia library for quantum circuit simulation using tensor networks☆16Updated 5 years ago
- Probabilistic modelling with tensor networks☆28Updated 5 years ago
- ☆18Updated 5 years ago
- A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.☆43Updated 2 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Updated 4 years ago
- Contracting Arbitrary Tensor Networks☆40Updated 5 years ago
- A neural network quantum ground state solver☆26Updated 7 years ago
- A project to apply many body quantum physics algorithm, e.g. tensor network, DMRG, MCMC to solve machine learning problems☆22Updated 8 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆76Updated 11 months ago
- Tutorials for a mini course in machine learning and quantum physics☆41Updated 5 years ago
- ☆17Updated 3 years ago
- Neural Monte Carlo Renormalization Group☆15Updated 4 years ago
- ☆24Updated 2 years ago