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
- An implementation of "Supervised Learning with Quantum-Inspired Tensor Networks" using TensorFlow☆11Updated 6 years ago
- Self-explaining Matrix Product States library in Python☆20Updated last year
- ☆39Updated 5 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 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
- Bayesian tensor network☆20Updated 5 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- fermionic Projected Entangled Pairs States (fPEPS)☆16Updated 6 years ago
- code for Unsupervised Generative Modeling using Matrix Product States☆41Updated last year
- Numerically represent quantum states with Restricted Boltzmann Machines☆25Updated 6 years ago
- Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems☆15Updated 4 years ago
- Computational graph states for variational monte carlo☆15Updated 5 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
- ☆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
- Contracting Arbitrary Tensor Networks☆40Updated 5 years ago
- Matrix Product States on NISQ quantum computers☆29Updated 4 years ago
- Riemannian optimization for quantum technologies☆56Updated last year
- ☆12Updated last month
- projected entangled pair of states (PEPS), the quantum version☆22Updated 9 months ago
- A package for efficient simulation and differentiation of parametrized quantum circuits.