Alternatives and similar repositories for tntorch

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

• APRIQuOt / VMC_with_LPTFs
  Code accompanying "Large Language Models for Variational Monte Carlo"
  ☆9Updated last year
• savostyanov / ttcross
  Cross interpolation of high-dimensional arrays in tensor train format
  ☆24Updated last year
• AndreiChertkov / ttopt
  Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle…
  ☆36Updated last year
• ssblee / TensorNetworks2022
  Tutorial materials for the lecture course "Tensor Networks" in the 2022 fall semester of Seoul National University.
  ☆25Updated 3 months ago
• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆53Updated 11 months ago
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆11Updated last year
• luigiannelli / threeLS_populationtransfer
  A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
  ☆14Updated last year
• GCatarina / DMRG_didactic
  Jupyter notebook with a didactic implementation of DMRG.
  ☆16Updated 2 years ago
• PGelss / scikit_tt
  Tensor Train Toolbox
  ☆114Updated last month
• bartolsthoorn / NQS-numpy
  Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks by Giuseppe Carleo, Matthias Troyer"…
  ☆32Updated 7 years ago
• tensor4all / xfac
  Cross factorization of tensors
  ☆37Updated last week
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆65Updated 3 months ago
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆24Updated 5 years ago
• VectorInstitute / VariationalNeuralAnnealing
  A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…
  ☆32Updated 2 years ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 4 years ago
• wangleiphy / TRG
  Differentiable Tensor Renormalization Group for square Ising
  ☆17Updated 6 years ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆19Updated last year
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 2 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆78Updated last year
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆51Updated 3 years ago
• GrigorievDmitry / Machine-learning-of-Markovian-embedding-for-non-Markovian-quantum-dynamics
  ☆12Updated 5 years ago
• KimGroup / AQT
  ☆12Updated 3 years ago
• mariomotta / QITE
  ☆39Updated 5 years ago
• AustenLamacraft / QuaRL
  Quantum ground states from Reinforcement Learning
  ☆16Updated 5 years ago
• bnuliujing / tn-for-unsup-ml
  ☆25Updated 4 years ago
• YijiawWang / TNMP
  ☆22Updated 8 months ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• txhaug / nisq-sdp
  Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.
  ☆11Updated 4 months ago
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated last year
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆48Updated 2 years ago