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
• bnuliujing / tn-for-unsup-ml
  ☆25Updated 3 years ago
• cqsl / mps-rnn
  Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
  ☆20Updated 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
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 2 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 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.
  ☆34Updated 4 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
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆60Updated 2 years ago
• TensorBFS / TropicalTensors.jl
  Tropical tensor network for spin glasses
  ☆55Updated 5 months ago
• frmetz / QMPS
  Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks
  ☆20Updated 8 months ago
• xwkgch / IsoTensor
  This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)
  ☆19Updated 2 years ago
• flynnbr11 / QMLA
  Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.
  ☆21Updated 2 years ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆19Updated 11 months ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆32Updated 4 years ago
• EverettYou / QuantumBootstrap
  ☆24Updated 2 years ago
• PhilipVinc / NeuralQuantum.jl
  Neural-Network representation of Quantum Systems
  ☆41Updated 5 years ago
• wangleiphy / TRG
  Differentiable Tensor Renormalization Group for square Ising
  ☆17Updated 6 years ago
• YiqingZhouKelly / LinQu.jl
  Julia library for quantum circuit simulation using tensor networks
  ☆16Updated 5 years ago
• refraction-ray / tensorcircuit
  Quantum circuit on top of tensor network. This version is archived, latest open source version release is at https://github.com/tensorcir…
  ☆28Updated 8 months ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆50Updated 3 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• APRIQuOt / VMC_with_LPTFs
  Code accompanying "Large Language Models for Variational Monte Carlo"
  ☆9Updated last year
• BITMAPdds / NeuralFRG
  ☆23Updated 2 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
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆38Updated 4 years ago
• QuantumLiquids / Ising-model-on-lattice-of-C60
  Finding the partition function of AF Ising model on lattice of C60 and its ground state degeneracy
  ☆19Updated 6 years ago
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆11Updated last year
• PennyLaneAI / generative-quantum-states
  Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
  ☆33Updated 2 years ago