Alternatives and similar repositories for ttopt

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

• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆56Updated last year
• anabatsh / PROTES
  Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…
  ☆37Updated 4 months ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆66Updated 6 months ago
• savostyanov / ttcross
  Cross interpolation of high-dimensional arrays in tensor train format
  ☆25Updated last year
• jemisjoky / TorchMPS
  PyTorch toolbox for matrix product state models
  ☆158Updated last year
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆62Updated 2 years ago
• wangleiphy / tensorgrad
  Differentiable Programming Tensor Networks
  ☆142Updated 4 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆78Updated last year
• PGelss / scikit_tt
  Tensor Train Toolbox
  ☆120Updated this week
• joserapa98 / tensorkrowch
  Smooth integration of tensor networks in machine learning
  ☆44Updated 2 months ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆38Updated 4 years ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆29Updated 5 years ago
• tensor4all / xfac
  Cross factorization of tensors
  ☆39Updated last week
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆52Updated 3 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆78Updated 5 years ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆21Updated last year
• bnuliujing / tn-for-unsup-ml
  ☆28Updated 4 years ago
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated 2 years ago
• Zhouquan-Wan / SVD_autodiff
  ☆16Updated 3 years ago
• varbench / varbench
  ☆47Updated 10 months 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.
  ☆11Updated last year
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆72Updated 7 months ago
• ChenAo-Phys / quantax
  Flexible neural quantum states based on QuSpin, JAX, and Equinox
  ☆20Updated this week
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆49Updated 2 years ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• tensorly / quantum
  Tensor-Based Quantum Machine Learning
  ☆120Updated 2 years ago
• kjslag / fastDisentangle
  Fast tensor disentangling algorithm
  ☆10Updated 4 years ago
• Fanerst / simulate_sycamore
  Simulating Sycamore quantum circuits classically using tensor network algorithm.
  ☆58Updated 2 years ago
• panzhang83 / catn
  Contracting Arbitrary Tensor Networks
  ☆42Updated 5 years ago