Alternatives and similar repositories for VariationalNeuralAnnealing

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

• frankschae / A-differentiable-programming-method-for-quantum-control
  ☆31Updated 5 years ago
• therooler / piqmc
  Codes used for the classical and simulated quantum annealing numerical experiments of https://arxiv.org/abs/2101.10154
  ☆21Updated 4 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• sylvialee12 / SelfLearning-MonteCarlo
  ☆19Updated 8 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆60Updated 2 years ago
• qgrad / qgrad
  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
  ☆43Updated 3 years ago
• bnuliujing / tn-for-unsup-ml
  ☆25Updated 4 years ago
• YiqingZhouKelly / LinQu.jl
  Julia library for quantum circuit simulation using tensor networks
  ☆16Updated 5 years ago
• 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
  ☆33Updated last week
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 2 years ago
• MelkoCollective / ICTP-SAIFR-MLPhysics
  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil
  ☆20Updated 7 years ago
• TensorBFS / TropicalTensors.jl
  Tropical tensor network for spin glasses
  ☆55Updated 6 months ago
• cqsl / mps-rnn
  Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
  ☆20Updated last week
• CRC183-summer-school / school_2021
  This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".
  ☆28Updated 3 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
• 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
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆65Updated 3 months ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• bpcarlos / understanding_QML_rethinking_gen
  ☆13Updated 8 months ago
• flynnbr11 / QMLA
  Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.
  ☆21Updated 2 years ago
• frmetz / QMPS
  Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
  ☆21Updated 9 months ago
• kjslag / fastDisentangle
  Fast tensor disentangling algorithm
  ☆10Updated 4 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆51Updated 3 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• PhilipVinc / NeuralQuantum.jl
  Neural-Network representation of Quantum Systems
  ☆41Updated 5 years ago
• LiuJPhys / QuanEstimation-archived
  A package for quantum estimation.
  ☆17Updated 3 years ago
• APRIQuOt / VMC_with_LPTFs
  Code accompanying "Large Language Models for Variational Monte Carlo"
  ☆9Updated last year
• EverettYou / QuantumBootstrap
  ☆24Updated 2 years ago