Alternatives and similar repositories for SOFTX_2019_95

Users that are interested in SOFTX_2019_95 are comparing it to the libraries listed below

• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆32Updated 5 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆65Updated 2 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆80Updated 6 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
• Quantinuum / qujax
  Simulating quantum circuits with JAX
  ☆72Updated last month
• eperrier / quant-geom-machine-learning
  ☆23Updated 3 years ago
• lsarra / rmi
  Code to estimate Renormalized Mutual Information in simple settings
  ☆13Updated 4 years ago
• TunnelTechnologies / dmrg-exact
  ☆14Updated 6 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• gecrooks / quantumflow
  QuantumFlow: A Quantum Algorithms Development Toolkit
  ☆61Updated 3 weeks ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 3 years ago
• RSMI-NE / RSMI-NE
  A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
  ☆31Updated 11 months ago
• qi-rub / pyfermions
  Rigorous free fermion entanglement renormalization from wavelet theory
  ☆17Updated 2 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 6 years ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated 2 weeks 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
• longyangking / PhaseOfMatter
  Machine Learning Phase of matter
  ☆15Updated 6 years ago
• zhaonat / cluster_monte_carlo
  Exploration of metropolis-hastings (local) and Uli Wolff (cluster) algorithms on the Ising Model
  ☆31Updated 7 years ago
• wangleiphy / tensorgrad
  Differentiable Programming Tensor Networks
  ☆144Updated 4 years ago
• RQC-QApp / NNQST
  🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)
  ☆23Updated 7 years ago
• fjosw / pyerrors
  Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
  ☆51Updated 2 months ago
• aspuru-guzik-group / Meta-VQE
  Meta-VQE data and examples repository
  ☆11Updated 5 years ago
• jcmgray / autoray
  Abstract your array operations.
  ☆164Updated last month
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆52Updated 6 years ago
• nikita-astronaut / nqs_frustrated_phase
  ☆10Updated 6 years ago
• Fanerst / simulate_sycamore
  Simulating Sycamore quantum circuits classically using tensor network algorithm.
  ☆59Updated 2 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆70Updated 4 months ago
• bnuliujing / tn-for-unsup-ml
  ☆28Updated 4 years ago
• trotter-suzuki-mpi / trotter-suzuki-mpi
  Massively Parallel Trotter-Suzuki Solver
  ☆35Updated 5 years ago
• MelkoCollective / ICTP-SAIFR-MLPhysics
  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil
  ☆21Updated 8 years ago