Alternatives and similar repositories for NeuralNetworks-for-Quantum

Users that are interested in NeuralNetworks-for-Quantum are comparing it to the libraries listed below

• QMagen / PyQMagen
  A method which combines quantum many-body calculation and unbiased optimizers to automatically learn effective Hamiltonians for quantum m…
  ☆24Updated 3 years ago
• CRC183-summer-school / school_2021
  This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".
  ☆27Updated 4 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆78Updated last year
• zhendongli2008 / fPEPS
  fermionic Projected Entangled Pairs States (fPEPS)
  ☆16Updated 6 years ago
• bartolsthoorn / NQS-numpy
  Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…
  ☆32Updated 7 years ago
• lin-lin / Quantum290
  Quantum 290 Seminar from 2020 Fall - ongoing
  ☆35Updated this week
• cqsl / mps-rnn
  Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
  ☆20Updated 3 months ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆38Updated 4 years ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• ClarkResearchGroup / cgs-vmc
  Computational graph states for variational monte carlo
  ☆16Updated 6 years ago
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆72Updated 3 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆66Updated 6 months ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆62Updated 2 years ago
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated 2 years ago
• twesterhout / lattice-symmetries
  A package to simplify working with symmetry-adapted quantum many-body bases. Provides a good foundation for writing custom exact diagonal…
  ☆31Updated last week
• mariomotta / QITE
  ☆39Updated 5 years ago
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆36Updated 4 years ago
• varbench / varbench
  ☆48Updated 10 months ago
• AustenLamacraft / QuaRL
  Quantum ground states from Reinforcement Learning
  ☆16Updated 5 years ago
• QuantumBFS / YaoTensorNetwork.jl
  Dump a quantum circuit in Yao to a tensor network graphical model
  ☆11Updated 4 years ago
• lin-lin / 2018Fall_275
  Mathematical Introduction to Electronic Structure Theory
  ☆47Updated 6 years ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 4 years ago
• juanjosegarciaripoll / seemps
  Self-explaining Matrix Product States library in Python
  ☆20Updated 2 years ago
• YijiawWang / TNMP
  ☆24Updated 2 months ago
• Zhouquan-Wan / SVD_autodiff
  ☆16Updated 3 years ago
• TsuyoshiOkubo / Tensor-Network-Tutorial
  ☆30Updated 2 years ago
• GregDMeyer / dynamite
  Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.
  ☆35Updated 10 months ago
• LodePollet / worm
  Worm Algorithm for Bose-Hubbard and XXZ models
  ☆28Updated 2 years ago
• congzlwag / UnsupGenModbyMPS
  code for Unsupervised Generative Modeling using Matrix Product States
  ☆46Updated 2 years ago
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆49Updated 2 years ago