Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer" with Python and Numpy
☆36Jan 26, 2018Updated 8 years ago
Alternatives and similar repositories for NQS-numpy
Users that are interested in NQS-numpy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python code for Neural Network Quantum States in the Carleo, Troyer style☆12Apr 19, 2019Updated 7 years ago
- Quantum ground states from Reinforcement Learning☆18Jun 15, 2020Updated 6 years ago
- Convolutional neural net to classify states of the classical Ising gauge theory (TensorFlow)☆10May 10, 2016Updated 10 years ago
- ☆30Mar 15, 2023Updated 3 years ago
- ☆22Dec 6, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A package for creating a matrix product state (MPS) from a free fermion (Gaussian) state.☆10Dec 6, 2021Updated 4 years ago
- This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".☆27Jul 18, 2021Updated 5 years ago
- MPS representation of RBM☆23Mar 1, 2018Updated 8 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆37Oct 30, 2020Updated 5 years ago
- Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.☆12Feb 3, 2025Updated last year
- Determinant quantum Monte Carlo code for simulating an antiferromagnetic quantum critical metal☆22Dec 9, 2020Updated 5 years ago
- Code for predicting ground states and classifying phases of matter☆31Nov 23, 2022Updated 3 years ago
- physics meets neural networks☆104Nov 23, 2018Updated 7 years ago
- Worm Algorithm for Bose-Hubbard and XXZ models☆33Aug 16, 2026Updated last month
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ITensor implementation of the time dependent variational principle (TDVP) algorithm for finite MPS☆27Jun 24, 2025Updated last year
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆25Mar 24, 2023Updated 3 years ago
- Unsupervised learning for discovering phase transition for various spin models.☆13Mar 18, 2025Updated last year
- ☆26Jul 8, 2025Updated last year
- Computational graph states for variational monte carlo☆17Jul 21, 2019Updated 7 years ago
- continuous-time matrix product operator for finite temperature quantum states☆40Jul 17, 2026Updated 2 months ago
- Package for using Matrix Product States (MPS) to simulate quantum circuits.☆17Jun 7, 2020Updated 6 years ago
- A C++ library for rapidly creating efficient tensor network calculations☆11Dec 27, 2019Updated 6 years ago
- Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework☆15Sep 23, 2022Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Mathematical Introduction to Electronic Structure Theory☆50Dec 21, 2018Updated 7 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Oct 23, 2022Updated 3 years ago
- DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as im…☆114Sep 26, 2026Updated 2 weeks ago
- Julia package to perform quantum state and process tomography☆34Apr 16, 2026Updated 5 months ago
- Tutorial on machine learning many-body physics with Boltzmann machines☆15Sep 19, 2017Updated 9 years ago
- Package to perform tight binding calculation in tight binding models, with a friendly user interface☆48Aug 6, 2021Updated 5 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆83Jun 3, 2024Updated 2 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆105Jul 17, 2026Updated 2 months ago
- Machine learning algorithms for many-body quantum systems☆703Oct 4, 2026Updated last week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Sample implementations of TRG, HOTRG, ATRG, BTRG☆13Apr 12, 2022Updated 4 years ago
- ☆12Jun 28, 2019Updated 7 years ago
- Modules in Matlab to implement the Numerical Renormalization Group technique.☆17Oct 1, 2020Updated 6 years ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆83Oct 2, 2019Updated 7 years ago
- A python wrapper for doing ED calculations on many-body systems☆338Apr 10, 2026Updated 6 months ago
- A tool for weighted model counting through tensor network contraction☆21Nov 13, 2021Updated 4 years ago
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆37Jan 13, 2021Updated 5 years ago