Alternatives and similar repositories for NQS-numpy

Users that are interested in NQS-numpy are comparing it to the libraries listed below

• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆53Updated 3 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• robertrueger / hVMC
  a free Variational Monte Carlo code for the Hubbard model
  ☆18Updated 11 years 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
• jhauschild / WinterschoolBarcelona2021
  Introduction to DMRG, TDVP and TeNPy
  ☆18Updated 3 years ago
• varbench / varbench
  ☆49Updated last year
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆72Updated 3 years ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 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
• panzhang83 / lectures
  ☆20Updated 6 years ago
• liwt31 / SimpleMPS
  Matrix product states (MPS) based density matrix renormalization group (DMRG)
  ☆27Updated 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 month
• jhauschild / lecture_comp_methods
  Tutorials for the lecture "Computational Methods in Many-Body Physics"
  ☆75Updated 5 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…
  ☆107Updated 2 weeks ago
• iglpdc / dmrg101
  Python implementation of the DMRG algorithm for the Taipei DMRG Winter School
  ☆57Updated 12 years ago
• GrigorievDmitry / Machine-learning-of-Markovian-embedding-for-non-Markovian-quantum-dynamics
  ☆12Updated 6 years ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆38Updated 4 years ago
• lin-lin / Quantum290
  Quantum 290 Seminar from 2020 Fall - ongoing
  ☆35Updated last week
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆50Updated 2 years ago
• iamc / ML-CM-2019
  Machine Learning in Condensed Matter Physics 2019 course repository
  ☆61Updated 6 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
• CDL-Quantum / CohortProject_2020
  Open collaboration of the Quantum Bootcamp 2020
  ☆34Updated 5 years ago
• AustenLamacraft / QuaRL
  Quantum ground states from Reinforcement Learning
  ☆16Updated 5 years ago
• ryanlevy / HubbardModel2D
  An Exact Diagonalization Code for the 1D & 2D Hubbard Model
  ☆21Updated 3 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆66Updated last month
• zhendongli2008 / fPEPS
  fermionic Projected Entangled Pairs States (fPEPS)
  ☆16Updated 7 years ago
• ranshiju / T-Nalg
  Tensor Netwok Algorithms for EVERYONE
  ☆40Updated 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
• gracequantum / tensor
  A high-performance tensor computation framework for the quantum physics community
  ☆25Updated 4 years ago
• mariomotta / QITE
  ☆39Updated 5 years ago