Alternatives and similar repositories for QuantGenMdl

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

• yuxuan-du / Quantum_architecture_search
  ☆47Updated 4 years ago
• yuanhangzhang98 / transformer_quantum_state
  An implementation of the transformer quantum state, a multi-purpose model for quantum many-body problems
  ☆36Updated 2 years ago
• Matematija / QubitRBM
  A Quantum circuit simulator based on Restricted Boltzmann Machines.
  ☆25Updated 3 years ago
• ML4QTech / Collection
  ☆50Updated 3 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/…
  ☆29Updated 4 years ago
• PennyLaneAI / generative-quantum-states
  Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
  ☆36Updated 3 years ago
• hsinyuan-huang / predicting-quantum-properties
  Using very few measurements to predict properties in quantum many-body systems.
  ☆213Updated 2 years ago
• renatawong / classical-shadow-vqe
  Qiskit implementation of classical shadow formalism with VQE for calculating ground state energies of molecules
  ☆15Updated 3 weeks ago
• lockwo / quantum_computation
  Code for implementing and experimenting with quantum algorithms
  ☆74Updated last month
• XanaduAI / qml-benchmarks
  Code to benchmark quantum machine learning models
  ☆71Updated 5 months ago
• JordanovSJ / VQE
  A python module and example scripts to perform molecular simulationts with the variational quantum eigensolver (VQE)
  ☆29Updated 3 years ago
• Sinestro38 / qosf-qgan
  Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using P…
  ☆27Updated 4 years ago
• ichuang / pyqsp
  Python quantum signal processing
  ☆130Updated last year
• quantshah / qst-cgan
  Quantum state tomography with conditional generative adversarial networks
  ☆35Updated 3 years ago
• sherrylixuecheng / EMQAOA-DARBO
  This is the github repo to support the manuscript "Quantum approximate optimization via learning-based adaptive optimization"
  ☆18Updated 8 months ago
• mariomotta / QITE
  ☆42Updated 6 years ago
• mostaszewski314 / RL_for_optimization_of_VQE_circuit_architectures
  ☆26Updated 4 years ago
• fergusfinn / qmps
  Matrix Product States on NISQ quantum computers
  ☆29Updated 5 years ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• QLemma / qleet
  qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability, and Training trajectories of noisy p…
  ☆34Updated 2 years ago
• AdrianPerezSalinas / universal_qlassifier
  ☆32Updated 5 years ago
• hsinyuan-huang / provable-ml-quantum
  Code for predicting ground states and classifying phases of matter
  ☆32Updated 3 years ago
• PIQuIL / RydbergGPT
  Our LLM for Rydberg atom physics
  ☆40Updated last year
• zapata-engineering / orqviz
  Python package for visualizing the loss landscape of parameterized quantum algorithms.
  ☆95Updated 2 years ago
• QuEraComputing / QRC-tutorials
  A set of tutorials for quantum reservoir learning.
  ☆43Updated last week
• hongyehu / Machine_Learning_Quantum_State_Tomography
  An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
  ☆37Updated 5 years ago
• AlbaCL / Meta-VQE
  ☆11Updated 5 years ago
• varbench / varbench
  ☆51Updated last year
• 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
• eperrier / QDataSet
  QDataSet: Quantum Datasets for Machine Learning
  ☆126Updated 4 years ago