Alternatives and similar repositories for tensor_networks_for_probabilistic_modeling

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

• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆61Updated 2 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 10 months ago
• bnuliujing / tn-for-unsup-ml
  ☆26Updated 4 years ago
• chaserileyroberts / TensorNetsForML
  Code for the paper "Tensor Networks for Maching Learning"
  ☆17Updated 5 years ago
• GiggleLiu / QuantumCircuitBornMachine
  gradient based training of Quantum Circuit Born Machine
  ☆44Updated 6 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• congzlwag / UnsupGenModbyMPS
  code for Unsupervised Generative Modeling using Matrix Product States
  ☆46Updated 2 years ago
• panzhang83 / catn
  Contracting Arbitrary Tensor Networks
  ☆42Updated 5 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆78Updated last year
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• dingliu0305 / Tree-Tensor-Networks-in-Machine-Learning
  ☆31Updated 6 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆32Updated 4 years ago
• GiggleLiu / QAOA
  A Quantum Approximate Optimization Algorithm
  ☆21Updated 7 years ago
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆156Updated last year
• qgrad / qgrad
  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
  ☆43Updated 3 years ago
• greydanus / psi0nn
  A neural network quantum ground state solver
  ☆26Updated 8 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
• Fanerst / simulate_sycamore
  Simulating Sycamore quantum circuits classically using tensor network algorithm.
  ☆58Updated 2 years ago
• CDL-Quantum / CohortProject_2020
  Open collaboration of the Quantum Bootcamp 2020
  ☆34Updated 4 years ago
• mariomotta / QITE
  ☆39Updated 5 years ago
• GTorlai / CDL_RBM_Tutorial
  Tutorial on machine learning many-body physics with Boltzmann machines
  ☆15Updated 7 years ago
• emstoudenmire / TNML
  Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…
  ☆162Updated 6 years ago
• txhaug / nisq-sdp
  Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.
  ☆12Updated 6 months 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
• supremacyfuture / VQC
  variational quantum circuit simulator in Julia, under GPLv3
  ☆32Updated 5 years ago
• henrik-dreyer / MPS-in-Qiskit
  Preparing Matrix Product State in Qiskit
  ☆31Updated last year
• R-Sweke / DeepQ-Decoding
  Decoders for fault tolerant quantum computation via deepQ reinforcement learning
  ☆47Updated 2 years ago
• ShHsLin / Neural-Network-Quantum-State
  ☆11Updated 3 years ago
• gecrooks / quantumflow
  QuantumFlow: A Quantum Algorithms Development Toolkit
  ☆59Updated 2 months ago