Alternatives and similar repositories for pathintegral-qmc

Users that are interested in pathintegral-qmc are comparing it to the libraries listed below

• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆72Updated 3 years ago
• GregDMeyer / dynamite
  Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.
  ☆35Updated 9 months ago
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆48Updated 2 years ago
• cmendl / pytenet
  Python implementation of quantum tensor network operations and simulations: matrix product states and operators, TDVP time evolution, sup…
  ☆65Updated this week
• mariomotta / QITE
  ☆39Updated 5 years ago
• jhauschild / lecture_comp_methods
  Tutorials for the lecture "Computational Methods in Many-Body Physics"
  ☆72Updated 5 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆78Updated last year
• 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
• joselado / dmrgpy
  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
• HaeffnerLab / python-qutip-ion-spectroscopy
  A list of functions for master equation quantum optics simulations based on python QuTiP
  ☆15Updated 10 years ago
• iglpdc / dmrg101
  Python implementation of the DMRG algorithm for the Taipei DMRG Winter School
  ☆57Updated 12 years ago
• GiggleLiu / marburg
  physics meets neural networks
  ☆98Updated 6 years ago
• iamc / ML-CM-2019
  Machine Learning in Condensed Matter Physics 2019 course repository
  ☆61Updated 5 years ago
• aormorningstar / HeisenbergED
  Lanczos diagonalization of a Heisenberg-like Hamiltonian in Julia.
  ☆41Updated 4 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• lin-lin / Quantum290
  290 seminar for 2020 fall - 2021 summer
  ☆35Updated last week
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆51Updated 3 years ago
• Haokai-Zhang / EasyMPS
  A pedagogical realization of MPS method.
  ☆98Updated 4 years ago
• luigiannelli / threeLS_populationtransfer
  A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
  ☆14Updated last year
• ryuikaneko / exactly_solvable_models
  ☆17Updated 3 years ago
• ShHsLin / Neural-Network-Quantum-State
  ☆11Updated 3 years ago
• GrigorievDmitry / Machine-learning-of-Markovian-embedding-for-non-Markovian-quantum-dynamics
  ☆12Updated 6 years ago
• congzlwag / UnsupGenModbyMPS
  code for Unsupervised Generative Modeling using Matrix Product States
  ☆46Updated 2 years ago
• heitorc7 / oDMRG
  Code repository for the ITensor based Open DMRG algorithm.
  ☆16Updated 2 years ago
• SchusterLab / quantum-optimal-control
  ☆79Updated 4 years ago
• simple-dmrg / simple-dmrg
  SIMPLE DMRG tutorial, created for the Trieste summer school on quantum spin liquids.
  ☆123Updated 5 years ago
• tempoCollaboration / OQuPy
  A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.
  ☆88Updated 8 months ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• juanjosegarciaripoll / seemps
  Self-explaining Matrix Product States library in Python
  ☆20Updated last year
• georglind / bosehubbard
  Lite python library to generate the basis and many-body Hamiltonian for the Bose-Hubbard model.
  ☆15Updated 9 years ago