Alternatives and similar repositories for Quantum_TP_Identification_DNN

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

• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆34Updated 4 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
• txhaug / nisq-sdp
  Program to calculate SDPs using Noisy intermediate scale quantum (NISQ) computers.
  ☆11Updated 3 months ago
• ClarkResearchGroup / cgs-vmc
  Computational graph states for variational monte carlo
  ☆15Updated 5 years ago
• GrigorievDmitry / Machine-learning-of-Markovian-embedding-for-non-Markovian-quantum-dynamics
  ☆12Updated 5 years ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆32Updated 4 years ago
• ShHsLin / Neural-Network-Quantum-State
  ☆11Updated 3 years ago
• mariomotta / QITE
  ☆39Updated 5 years ago
• panzhang83 / lectures
  ☆18Updated 5 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
• zhendongli2008 / fPEPS
  fermionic Projected Entangled Pairs States (fPEPS)
  ☆16Updated 6 years ago
• juanjosegarciaripoll / seemps
  Self-explaining Matrix Product States library in Python
  ☆20Updated last year
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• ranshiju / BayesianTN
  Bayesian tensor network
  ☆20Updated 5 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆50Updated 3 years ago
• flynnbr11 / QMLA
  Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.
  ☆21Updated 2 years 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
• hongyehu / Hamiltonian-driven-shadow-tomography-page
  A blog introducing the idea of classical shadow tomography, and Hamiltonian-driven shadow tomography of quantum states(https://arxiv.org/…
  ☆27Updated 3 years ago
• lllewis234 / improved-ml-algorithm
  Code for predicting ground state properties using new ML model.
  ☆11Updated last year
• cqsl / mps-rnn
  Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
  ☆20Updated 11 months ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆31Updated 2 years ago
• YijiawWang / TNMP
  ☆22Updated 6 months ago
• MelkoCollective / ICTP-SAIFR-MLPhysics
  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil
  ☆20Updated 7 years ago
• luigiannelli / threeLS_populationtransfer
  A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies, notebooks
  ☆14Updated last year
• matteoacrossi / ibmq_open_quantum_systems
  Code for reproducing the results of "IBM Q Experience as a versatile experimental testbed for simulating open quantum systems"
  ☆20Updated 5 years ago
• ikim-quantum / dmera
  Deep Multiscale Renormalization Ansatz(DMERA) : Noise-Resilient Quantum Simulation of Strongly Correlated Quantum Many-body Systems
  ☆15Updated 4 years ago
• yzcj105 / rbm2mps
  MPS representation of RBM
  ☆22Updated 7 years ago
• Nil26 / Kosterlitz-Thouless-PT
  2-D XY Model with Monte Carlo method to simulate the KT Phase Transition
  ☆16Updated 8 years ago
• bnuliujing / tn-for-unsup-ml
  ☆25Updated 3 years ago
• nikita-astronaut / nqs_frustrated_phase
  ☆10Updated 5 years ago