Shmoo137 / SummerSchool2021_MLinQuantumLinks
The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics and Chemistry (24th August - 3rd September 2021, Warsaw).
☆40Updated last month
Alternatives and similar repositories for SummerSchool2021_MLinQuantum
Users that are interested in SummerSchool2021_MLinQuantum are comparing it to the libraries listed below
Sorting:
- ☆44Updated 2 years ago
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆78Updated last year
- DMRGPy is a Python library to compute quasi-one-dimensional spin chains and fermionic systems using matrix product states with DMRG as im…☆104Updated last month
- ☆46Updated 9 months ago
- Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…☆32Updated 7 years ago
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 5 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆51Updated 3 years ago
- Matrix Product States on NISQ quantum computers☆29Updated 4 years ago
- Open collaboration of the Quantum Bootcamp 2020☆34Updated 4 years ago
- ADAPT-VQE simulation code☆26Updated 9 months ago
- Code for predicting ground state properties using new ML model.☆11Updated last year
- Teaching material for the course Advanced Quantum Materials at Aalto University☆60Updated last month
- Code containing notes for the derivation of mapping a Hubbard system to a quantum computing environment and an example of time evolution …☆17Updated 3 years ago
- A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.☆88Updated 8 months ago
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆65Updated 5 months ago
- Tutorials for Hamiltonian Open Quantum System Toolkit(HOQST)☆28Updated 3 years ago
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆36Updated 4 years ago
- Code accompanying "Large Language Models for Variational Monte Carlo"☆9Updated last year
- Tutorials for the lecture "Computational Methods in Many-Body Physics"☆72Updated 5 years ago
- A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks☆14Updated last year
- Flexible neural quantum states based on QuSpin, JAX, and Equinox☆15Updated last week
- ☆54Updated 10 months ago
- Python implementation of the DMRG algorithm for the Taipei DMRG Winter School☆57Updated 12 years ago
- BoFiN HEOM Python version.☆17Updated last year
- Repository for figures and tex files of the book "Modern applications of machine learning in quantum sciences"☆21Updated 2 months ago
- Our LLM for Rydberg atom physics☆37Updated last year
- Files for QMC Workshop 2021☆57Updated 3 years ago
- An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems☆35Updated last year
- Jupyter notebook with a didactic implementation of DMRG.☆16Updated 2 years ago
- Jupyter-notebooks for the course Advanced Computational Methods in Physics 2024: Quantum many-body and tensor networks (Aalto University)☆20Updated 6 months ago