VectorInstitute / VariationalNeuralAnnealingLinks
A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.
☆32Updated 2 years ago
Alternatives and similar repositories for VariationalNeuralAnnealing
Users that are interested in VariationalNeuralAnnealing are comparing it to the libraries listed below
Sorting:
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆52Updated 3 years ago
- Riemannian optimization for quantum technologies☆61Updated 2 years ago
- ☆31Updated 5 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 5 years ago
- ☆26Updated 4 years ago
- This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)☆19Updated 2 years ago
- An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems☆35Updated last year
- Quantum ground states from Reinforcement Learning☆16Updated 5 years ago
- Bayesian tensor network☆21Updated 5 years ago
- 290 seminar for 2020 fall - 2021 summer☆35Updated last week
- Flexible, general-purpose VMC framework, built on JAX.☆27Updated 4 months ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 4 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆38Updated 4 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Updated 2 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- ☆19Updated 8 years ago
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆66Updated 5 months ago
- Tropical tensor network for spin glasses☆59Updated 8 months ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆78Updated last year
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- A neural network quantum ground state solver☆26Updated 8 years ago
- Neural Monte Carlo Renormalization Group☆15Updated 4 years ago
- Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.☆20Updated 2 months ago
- Fast tensor disentangling algorithm☆10Updated 4 years ago
- Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.☆22Updated 2 years ago
- Code for predicting ground state properties using new ML model.☆11Updated last year
- Mathematical Introduction to Electronic Structure Theory☆47Updated 6 years ago
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆36Updated 4 years ago
- This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".☆27Updated 4 years ago
- Solving Quantum Statistical Mechanics with Variational Autoregressive Networks and Quantum Circuits☆35Updated last year