Alternatives and similar repositories for py-nqs

Users that are interested in py-nqs are comparing it to the libraries listed below

• 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
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆11Updated last year
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated last year
• lin-lin / Quantum290
  290 seminar for 2020 fall - 2021 summer
  ☆32Updated 2 weeks ago
• APRIQuOt / VMC_with_LPTFs
  Code accompanying "Large Language Models for Variational Monte Carlo"
  ☆9Updated last year
• ClarkResearchGroup / cgs-vmc
  Computational graph states for variational monte carlo
  ☆15Updated 5 years ago
• tehruhn / bofin
  BoFiN HEOM Python version.
  ☆16Updated last year
• BorjaRequena / VMC_introduction
  Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
  ☆19Updated 4 years ago
• tomdbar / naqs-for-quantum-chemistry
  Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
  ☆40Updated 2 years ago
• evangelistalab / qforte
  ☆52Updated 8 months ago
• NLESC-JCER / QMCTorch
  Pytorch Implementation of Real Space Quantum Monte Carlo Simulations of Molecular Systems
  ☆27Updated this week
• Shmoo137 / SummerSchool2021_MLinQuantum
  The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics…
  ☆39Updated 6 months ago
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆26Updated 3 weeks ago
• XanaduAI / GradDFT
  GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine l…
  ☆101Updated last year
• AustenLamacraft / QuaRL
  Quantum ground states from Reinforcement Learning
  ☆15Updated 4 years ago
• txhaug / nisq-sdp
  Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.
  ☆11Updated 3 months ago
• WagnerGroup / pyqmc
  Python library for real space quantum Monte Carlo
  ☆87Updated last week
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆50Updated 3 years ago
• QMCPACK / qmc_workshop_2021
  Files for QMC Workshop 2021
  ☆57Updated 3 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
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆34Updated 4 years ago
• YijiawWang / TNMP
  ☆22Updated 6 months ago
• kanavsetia / pgs
  point group symmetries project
  ☆17Updated 4 years ago
• tencent-quantum-lab / TenCirChem
  Quantum computational chemistry based on TensorCircuit
  ☆64Updated 6 months ago
• frankwswang / Quiqbox.jl
  Exploring the computational power of fermionic quantum systems. Ab initio computation and basis set optimization for electronic structure…
  ☆34Updated this week
• shuaigroup / Renormalizer
  Quantum dynamics package based on tensor network states
  ☆60Updated this week
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆25Updated 5 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 3 years ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆37Updated 4 years ago