Alternatives and similar repositories for SelfLearning-MonteCarlo

Users that are interested in SelfLearning-MonteCarlo are comparing it to the libraries listed below

• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 4 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• frankschae / A-differentiable-programming-method-for-quantum-control
  ☆31Updated 5 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆52Updated 3 years ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 2 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• MelkoCollective / ICTP-SAIFR-MLPhysics
  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil
  ☆20Updated 7 years ago
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆23Updated 2 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
• Zhouquan-Wan / SVD_autodiff
  ☆16Updated 3 years ago
• zhendongli2008 / fPEPS
  fermionic Projected Entangled Pairs States (fPEPS)
  ☆16Updated 6 years ago
• ITensor / ITensorGaussianMPSArchived.jl
  A package for creating a matrix product state (MPS) from a free fermion (Gaussian) state.
  ☆10Updated 3 years ago
• greydanus / psi0nn
  A neural network quantum ground state solver
  ☆26Updated 8 years ago
• kjslag / fastDisentangle
  Fast tensor disentangling algorithm
  ☆10Updated 4 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆61Updated 2 years ago
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆27Updated 4 months ago
• ClarkResearchGroup / cgs-vmc
  Computational graph states for variational monte carlo
  ☆16Updated 6 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
• TensorBFS / dTRG
  ☆20Updated 5 years ago
• xwkgch / IsoTensor
  This project is used for the paper "Differentiable Programming of Isometric Tensor Network". (arXiv:2110.03898)
  ☆19Updated 2 years ago
• bnuliujing / tn-for-unsup-ml
  ☆26Updated 4 years ago
• AustenLamacraft / QuaRL
  Quantum ground states from Reinforcement Learning
  ☆16Updated 5 years ago
• marekrams / tnac4o
  Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.
  ☆11Updated 3 years ago
• EverettYou / SBRG
  Spectrum Bifurcation RG
  ☆12Updated 9 years ago
• QMagen / PyQMagen
  A method which combines quantum many-body calculation and unbiased optimizers to automatically learn effective Hamiltonians for quantum m…
  ☆24Updated 3 years ago
• QuantumBFS / YaoTensorNetwork.jl
  Dump a quantum circuit in Yao to a tensor network graphical model
  ☆11Updated 4 years ago
• QuantumLiquids / Ising-model-on-lattice-of-C60
  Finding the partition function of AF Ising model on lattice of C60 and its ground state degeneracy
  ☆19Updated 6 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆66Updated 5 months ago
• lin-lin / Quantum290
  290 seminar for 2020 fall - 2021 summer
  ☆35Updated last week