ElsevierSoftwareX / SOFTX_2019_95Links
Machine learning algorithms for many-body quantum systems. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711019300974
☆10Updated 6 years ago
Alternatives and similar repositories for SOFTX_2019_95
Users that are interested in SOFTX_2019_95 are comparing it to the libraries listed below
Sorting:
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆78Updated 5 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 5 years ago
- Bayesian tensor network☆21Updated 5 years ago
- Riemannian optimization for quantum technologies☆61Updated 2 years ago
- ☆23Updated 3 years ago
- A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…☆31Updated 2 years ago
- Differentiable Programming Tensor Networks☆142Updated 4 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆38Updated 4 years ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 4 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆95Updated 3 months ago
- QuantumFlow: A Quantum Algorithms Development Toolkit☆59Updated 2 months ago
- Simulating quantum circuits with JAX☆70Updated this week
- Meta-VQE data and examples repository☆11Updated 4 years ago
- Simulation of the Potts model for a university course in Monte Carlo simulations☆11Updated 5 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆32Updated 6 months ago
- Forward mode laplacian implemented in JAX tracer☆29Updated 6 months ago
- 🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)☆23Updated 7 years ago
- ☆14Updated 6 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆13Updated 4 years ago
- Machine Learning Phase of matter☆13Updated 6 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆52Updated 3 years ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆36Updated 6 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 5 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Updated 2 years ago
- Abstract your array operations.☆155Updated last week
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- Conceptual understanding through efficient inverse-design of quantum optical experiments☆30Updated 3 years ago
- Python code for Neural Network Quantum States in the Carleo, Troyer style☆12Updated 6 years ago
- Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model☆30Updated 7 years ago