Alternatives and similar repositories for cme250Q-quantum-computing

Users that are interested in cme250Q-quantum-computing are comparing it to the libraries listed below

• MelkoCollective / ICTP-SAIFR-MLPhysics
  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil
  ☆21Updated 8 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆21Updated 5 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆31Updated 5 years ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 3 years ago
• nikita-astronaut / nqs_frustrated_phase
  ☆10Updated 5 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆64Updated 2 years ago
• refraction-ray / admc
  Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
  ☆24Updated 2 years ago
• CompPhysics / MachineLearningManyBody
  This repository contains lectures on Many-body physics and Machine Learning
  ☆13Updated 4 years ago
• QuantumBFS / YaoTensorNetwork.jl
  Dump a quantum circuit in Yao to a tensor network graphical model
  ☆11Updated 5 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆53Updated 3 years ago
• marekrams / tnac4o
  Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.
  ☆12Updated 4 years ago
• greydanus / psi0nn
  A neural network quantum ground state solver
  ☆26Updated 8 years ago
• ClarkResearchGroup / cgs-vmc
  Computational graph states for variational monte carlo
  ☆17Updated 6 years ago
• vardigroup / TensorOrder
  A tool for weighted model counting through tensor network contraction
  ☆21Updated 4 years ago
• wangleiphy / DL4CSRC
  Hitchhiker's Guide to Deep Learning for Computational Scientists
  ☆36Updated 7 years ago
• AustenLamacraft / QuaRL
  Quantum ground states from Reinforcement Learning
  ☆17Updated 5 years ago
• zhendongli2008 / fPEPS
  fermionic Projected Entangled Pairs States (fPEPS)
  ☆16Updated 7 years ago
• PhilipVinc / NeuralQuantum.jl
  Neural-Network representation of Quantum Systems
  ☆41Updated 5 years ago
• QTechTheory / VQD
  Collection of virtual quantum devices
  ☆16Updated 4 months ago
• gecrooks / quantumflow
  QuantumFlow: A Quantum Algorithms Development Toolkit
  ☆61Updated 2 weeks ago
• unixtomato / nmcrg
  Neural Monte Carlo Renormalization Group
  ☆15Updated 5 years ago
• QPIpattern / phase-of-matter-by-machine-learning
  Unsupervised machine learning of phase of matter in physics
  ☆11Updated 8 years ago
• CRC183-summer-school / school_2021
  This is the repository for the CRC 183 summer school "Machine Learning in Condensed Matter Physics".
  ☆27Updated 4 years ago
• TunnelTechnologies / dmrg-exact
  ☆14Updated 6 years ago
• PIQuIL / QuLAPENO
  Tutorials for a mini course in machine learning and quantum physics
  ☆42Updated 6 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
• rmnfournier / ACANN
  Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)
  ☆20Updated 6 years ago
• QMagen / PyQMagen
  A method which combines quantum many-body calculation and unbiased optimizers to automatically learn effective Hamiltonians for quantum m…
  ☆24Updated 4 years ago
• Zhouquan-Wan / SVD_autodiff
  ☆18Updated 4 years ago