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
• iglpdc / dmrg101
  Python implementation of the DMRG algorithm for the Taipei DMRG Winter School
  ☆57Updated 12 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• jhauschild / lecture_comp_methods
  Tutorials for the lecture "Computational Methods in Many-Body Physics"
  ☆75Updated 5 years ago
• GiggleLiu / marburg
  physics meets neural networks
  ☆102Updated 6 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
• iamc / ML-CM-2019
  Machine Learning in Condensed Matter Physics 2019 course repository
  ☆61Updated 6 years ago
• mariomotta / QITE
  ☆39Updated 5 years ago
• HaeffnerLab / python-qutip-ion-spectroscopy
  A list of functions for master equation quantum optics simulations based on python QuTiP
  ☆15Updated 10 years ago
• luigiannelli / threeLS_populationtransfer
  A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
  ☆15Updated 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
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆50Updated 2 years ago
• GregDMeyer / dynamite
  Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.
  ☆35Updated 11 months ago
• PIQuIL / QuLAPENO
  Tutorials for a mini course in machine learning and quantum physics
  ☆42Updated 6 years ago
• ryuikaneko / exactly_solvable_models
  ☆17Updated 3 years ago
• GrigorievDmitry / Machine-learning-of-Markovian-embedding-for-non-Markovian-quantum-dynamics
  ☆12Updated 6 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆66Updated last week
• qgrad / qgrad
  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
  ☆43Updated 3 years ago
• issp-center-dev / HPhi
  Quantum Lattice Model Simulator Package
  ☆93Updated 2 months ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 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…
  ☆105Updated 2 weeks ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 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
• ryanlevy / HubbardModel2D
  An Exact Diagonalization Code for the 1D & 2D Hubbard Model
  ☆21Updated 3 years ago
• Haokai-Zhang / EasyMPS
  A pedagogical realization of MPS method.
  ☆99Updated 4 years ago
• liwt31 / SimpleMPS
  Matrix product states (MPS) based density matrix renormalization group (DMRG)
  ☆27Updated 2 years ago
• Fanerst / simulate_sycamore
  Simulating Sycamore quantum circuits classically using tensor network algorithm.
  ☆58Updated 2 years ago
• tempoCollaboration / OQuPy
  A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.
  ☆92Updated 10 months ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆62Updated 2 years ago
• SchusterLab / quantum-optimal-control
  ☆79Updated 4 years ago