Alternatives and similar repositories for tntorch

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

• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆53Updated 3 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆67Updated 3 months ago
• ssblee / TensorNetworks2022
  Tutorial materials for the lecture course "Tensor Networks" in the 2022 fall semester of Seoul National University.
  ☆25Updated 9 months ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 3 years ago
• kafischer / neural-quantum-states
  Numerically represent quantum states with Restricted Boltzmann Machines
  ☆26Updated 7 years ago
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆14Updated 2 years ago
• katherinevankirk / hardware-efficient-learning
  Hardware-efficient learning of quantum many-body states. Code for simulating a U(1) lattice gauge theory and classifying topological orde…
  ☆12Updated 3 years ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆24Updated last year
• PGelss / scikit_tt
  Tensor Train Toolbox
  ☆126Updated 2 months ago
• qiyang-ustc / jaxeigs
  Rescure useful code in TensorNetwork by google for further personal usage.
  ☆12Updated last year
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆36Updated 2 years ago
• luigiannelli / threeLS_populationtransfer
  A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
  ☆19Updated last year
• txhaug / nisq-sdp
  Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.
  ☆12Updated 10 months ago
• lin-lin / 2018Fall_275
  Mathematical Introduction to Electronic Structure Theory
  ☆47Updated 7 years ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆38Updated 5 years ago
• savostyanov / ttcross
  Cross interpolation of high-dimensional arrays in tensor train format
  ☆26Updated last year
• mariomotta / QITE
  ☆40Updated 6 years ago
• amilsted / evoMPS
  An implementation of the time dependent variational principle for matrix product states
  ☆74Updated 3 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆64Updated 2 years ago
• GrigorievDmitry / Machine-learning-of-Markovian-embedding-for-non-Markovian-quantum-dynamics
  ☆12Updated 6 years ago
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆25Updated 6 years ago
• bnuliujing / tn-for-unsup-ml
  ☆27Updated 4 years ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• KimGroup / AQT
  ☆13Updated 4 years ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆52Updated 6 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆98Updated 6 months ago
• panzhang83 / lectures
  ☆21Updated 6 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆31Updated 5 years ago
• bartolsthoorn / NQS-numpy
  Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…
  ☆33Updated 7 years ago