Alternatives and similar repositories for TensorNetworks2022

Users that are interested in TensorNetworks2022 are comparing it to the libraries listed below

• varbench / varbench
  ☆48Updated 11 months ago
• cqsl / mps-rnn
  Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
  ☆20Updated 3 months ago
• zhendongli2008 / fPEPS
  fermionic Projected Entangled Pairs States (fPEPS)
  ☆16Updated 6 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆52Updated 3 years ago
• TsuyoshiOkubo / Tensor-Network-Tutorial
  ☆30Updated 2 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• 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
• GCatarina / DMRG_didactic
  Jupyter notebook with a didactic implementation of DMRG.
  ☆17Updated 2 years ago
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆50Updated 2 years ago
• GCatarina / DMRG_MPS_didactic
  Jupyter notebook with a didactic implementation of DMRG, using tensor networks.
  ☆18Updated 2 years ago
• sjt48 / PyFlow
  The PyFlow package is a Python implementation of the flow equation method for approximately diagonalising large many-body quantum systems…
  ☆25Updated 2 years ago
• b1592 / ad-peps
  iPEPS ground- and excited-state implementation based on Automatic Differentiation
  ☆40Updated 2 years ago
• TensorBFS / cMPO
  continuous-time matrix product operator for finite temperature quantum states
  ☆40Updated 4 months ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆66Updated 2 weeks 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 3 weeks ago
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆72Updated 3 years ago
• LodePollet / worm
  Worm Algorithm for Bose-Hubbard and XXZ models
  ☆28Updated 2 years ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 2 years ago
• jurajHasik / peps-torch
  Solving two-dimensional spin models with tensor networks (powered by PyTorch)
  ☆95Updated 3 weeks ago
• liwt31 / SimpleMPS
  Matrix product states (MPS) based density matrix renormalization group (DMRG)
  ☆27Updated 2 years ago
• emstoudenmire / finiteTMPS
  Finite temperature tensor network algorithms including METTS and the ancilla/purification method
  ☆19Updated 8 years ago
• EverettYou / QuantumBootstrap
  ☆25Updated 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
• yastn / yastn
  Yet another symmetric tensor network
  ☆38Updated this week
• jhauschild / lecture_comp_methods
  Tutorials for the lecture "Computational Methods in Many-Body Physics"
  ☆75Updated 5 years ago
• cmendl / pytenet
  Python implementation of quantum tensor network operations and simulations: matrix product states and operators, TDVP time evolution, sup…
  ☆66Updated last month
• YijiawWang / TNMP
  ☆24Updated 3 months ago
• 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
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• guochu / tensor_network_states_tutorials
  This is a tutorial prepared for a summer school in Changsha in 2021
  ☆10Updated 4 years ago