Alternatives and similar repositories for rbm_ising

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

• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆36Updated 2 years ago
• BorjaRequena / VMC_introduction
  Introduction to quantum Monte Carlo. From the foundations to state-of-the-art Restricted Boltzmann Machine ansatz.
  ☆19Updated 4 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆53Updated 3 years ago
• iglpdc / dmrg101
  Python implementation of the DMRG algorithm for the Taipei DMRG Winter School
  ☆57Updated 12 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆31Updated 5 years ago
• emstoudenmire / TNML
  Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…
  ☆163Updated 6 years ago
• Francis-Hsu / QuantGenMdl
  ☆27Updated last year
• wangleiphy / tensorgrad
  Differentiable Programming Tensor Networks
  ☆144Updated 4 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• PIQuIL / RydbergGPT
  Our LLM for Rydberg atom physics
  ☆38Updated last year
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆52Updated 6 years ago
• tehruhn / bofin
  BoFiN HEOM Python version.
  ☆17Updated 2 years ago
• Shmoo137 / SummerSchool2021_MLinQuantum
  The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics…
  ☆42Updated 5 months ago
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆163Updated last year
• GiggleLiu / QuantumCircuitBornMachine
  gradient based training of Quantum Circuit Born Machine
  ☆45Updated 6 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
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆12Updated last year
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• iamc / ML-CM-2019
  Machine Learning in Condensed Matter Physics 2019 course repository
  ☆61Updated 6 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…
  ☆29Updated last year
• jundeli / quantum-gan
  PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.
  ☆93Updated last year
• Matematija / QubitRBM
  A Quantum circuit simulator based on Restricted Boltzmann Machines.
  ☆25Updated 3 years ago
• bytedance / DeepSolid
  A library combining solid quantum Monte Carlo and neural network.
  ☆46Updated 11 months ago
• henrik-dreyer / MPS-in-Qiskit
  Preparing Matrix Product State in Qiskit
  ☆33Updated 2 years ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆29Updated 5 years ago
• hongyehu / Hamiltonian-driven-shadow-tomography-page
  A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/…
  ☆29Updated 4 years ago
• mayhallgroup / adapt-vqe
  ADAPT-VQE simulation code
  ☆26Updated last year
• CDL-Quantum / CohortProject_2020
  Open collaboration of the Quantum Bootcamp 2020
  ☆34Updated 5 years ago
• panzhang83 / catn
  Contracting Arbitrary Tensor Networks
  ☆43Updated 5 years ago
• kafischer / neural-quantum-states
  Numerically represent quantum states with Restricted Boltzmann Machines
  ☆26Updated 7 years ago