kafischer / neural-quantum-statesLinks
Numerically represent quantum states with Restricted Boltzmann Machines
☆26Updated 7 years ago
Alternatives and similar repositories for neural-quantum-states
Users that are interested in neural-quantum-states are comparing it to the libraries listed below
Sorting:
- A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations☆79Updated last year
- Open collaboration of the Quantum Bootcamp 2020☆34Updated 5 years ago
- An implementation of the time dependent variational principle for matrix product states☆74Updated 3 years ago
- Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"☆53Updated 3 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆38Updated 5 years ago
- Reconstructing quantum states with generative models☆52Updated 6 years ago
- Matrix Product States on NISQ quantum computers☆29Updated 4 years ago
- code for Unsupervised Generative Modeling using Matrix Product States☆46Updated 2 years ago
- ☆41Updated 6 years ago
- Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.☆67Updated 3 months ago
- Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.☆38Updated last year
- fermionic Projected Entangled Pairs States (fPEPS)☆16Updated 7 years ago
- A collection of lectures and tutorials☆24Updated last year
- Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…☆34Updated 7 years ago
- A method which combines quantum many-body calculation and unbiased optimizers to automatically learn effective Hamiltonians for quantum m…☆24Updated 4 years ago
- A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.☆44Updated 3 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆21Updated 8 years ago
- Tensor network contraction function for Python 3.☆52Updated 2 years ago
- Riemannian optimization for quantum technologies☆64Updated 2 years ago
- This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".☆27Updated 4 years ago
- An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.☆37Updated 4 years ago
- Neural network decoder for large distance toric code☆12Updated 6 years ago
- Computational graph states for variational monte carlo☆17Updated 6 years ago
- ☆29Updated 2 years ago
- Dump a quantum circuit in Yao to a tensor network graphical model☆11Updated 5 years ago
- Discrete Truncated Wigner Approximation for any spin system☆14Updated 4 years ago
- ☆18Updated 4 years ago
- A neural network quantum ground state solver☆26Updated 8 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…☆108Updated 2 weeks ago
- Code for predicting ground states and classifying phases of matter☆32Updated 3 years ago