Alternatives and similar repositories for provable-ml-quantum

Users that are interested in provable-ml-quantum are comparing it to the libraries listed below

• cqsl / mps-rnn
  Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
  ☆20Updated last month
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆36Updated 4 years ago
• hongyehu / PyClifford
  An intuitive programming package for simulating and analyzing Clifford-dominated circuits, quantum measurement, and stabilizer states wit…
  ☆78Updated 2 months ago
• carrasqu / POVM_GENMODEL
  Reconstructing quantum states with generative models
  ☆50Updated 6 years ago
• Muzhou-Ma / LOCC-VQE
  This is the Python-based repository for Variational LOCC-assisted quantum circuits for long-range entangled states.
  ☆11Updated 10 months ago
• yuanhangzhang98 / ml_quantum_compiling
  A machine learning algorithm for topological quantum compiling
  ☆32Updated 4 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆78Updated last year
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 4 years ago
• mariomotta / QITE
  ☆39Updated 5 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/…
  ☆28Updated 4 years ago
• CHY-i / qecGPT
  Decoding Quantum Error Correction codes with Generative Pre-trained Transformers
  ☆35Updated last year
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆35Updated last year
• GregDMeyer / dynamite
  Fast quantum evolution and eigensolving using Krylov subspace methods via the PETSc/SLEPc libraries.
  ☆35Updated 9 months ago
• varbench / varbench
  ☆46Updated 9 months ago
• quantshah / gd-qpt
  Gradient-descent quantum process tomography by learning Kraus operators
  ☆23Updated 3 years ago
• hsinyuan-huang / learning-quantum-process
  Using very few experiments to efficiently learn an approximate model of an n-qubit quantum process.
  ☆16Updated 2 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆51Updated 3 years ago
• panzhang83 / catn
  Contracting Arbitrary Tensor Networks
  ☆42Updated 5 years ago
• qgrad / qgrad
  A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
  ☆43Updated 3 years ago
• USCqserver / OpenQuantumTools.jl
  Julia toolkit for open quantum system simulation.
  ☆76Updated last year
• APRIQuOt / VMC_with_LPTFs
  Code accompanying "Large Language Models for Variational Monte Carlo"
  ☆9Updated last year
• PennyLaneAI / generative-quantum-states
  Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
  ☆33Updated 2 years ago
• mhauru / ncon
  Tensor network contraction function for Python 3.
  ☆48Updated 2 years ago
• idnm / cpflow
  Variational quantum circuit synthesis
  ☆15Updated 2 years ago
• EverettYou / QuantumBootstrap
  ☆24Updated 3 years ago
• LuchnikovI / QGOpt
  Riemannian optimization for quantum technologies
  ☆61Updated 2 years ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆65Updated 5 months ago
• iqubit-org / supergrad
  Differentiable simulation of superconducting quantum processors.
  ☆27Updated this week
• Fanerst / solve_sycamore
  Reproduce the random circuit sampling experiments of Sycamore quantum circuit
  ☆33Updated 3 years ago
• zhendongli2008 / fPEPS
  fermionic Projected Entangled Pairs States (fPEPS)
  ☆16Updated 6 years ago