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"
  ☆52Updated 3 years ago
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆12Updated last year
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 2 years ago
• Zhouquan-Wan / SVD_autodiff
  ☆16Updated 3 years ago
• luigiannelli / threeLS_populationtransfer
  A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
  ☆15Updated last year
• AustenLamacraft / QuaRL
  Quantum ground states from Reinforcement Learning
  ☆16Updated 5 years ago
• VectorInstitute / VariationalNeuralAnnealing
  A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…
  ☆31Updated 2 years ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆21Updated last year
• qiyang-ustc / jaxeigs
  Rescure useful code in TensorNetwork by google for further personal usage.
  ☆12Updated 10 months ago
• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆57Updated last year
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆66Updated 2 weeks ago
• PGelss / scikit_tt
  Tensor Train Toolbox
  ☆122Updated 3 weeks ago
• bytedance / jaqmc
  JAX accelerated Quantum Monte Carlo
  ☆85Updated last month
• frankschae / A-differentiable-programming-method-for-quantum-control
  ☆31Updated 5 years ago
• varbench / varbench
  ☆48Updated 11 months ago
• 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
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆25Updated 6 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
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• wangleiphy / ml4p
  Machine learning for physicists
  ☆136Updated 2 years ago
• txhaug / nisq-sdp
  Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.
  ☆12Updated 8 months ago
• flynnbr11 / QMLA
  Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.
  ☆22Updated 2 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆62Updated 2 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆96Updated 4 months ago
• ssblee / TensorNetworks2022
  Tutorial materials for the lecture course "Tensor Networks" in the 2022 fall semester of Seoul National University.
  ☆25Updated 6 months ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 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 2 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
• hongyehu / RG-Flow
  This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …
  ☆88Updated 3 years ago