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Back to rigetticomputing/grove

Open-source alternatives to Grove

30 open-source projects similar to rigetticomputing/grove, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Grove alternative.

  • qiskit/qiskitAvatar de Qiskit

    Qiskit/qiskit

    7,522Ver en GitHub↗

    Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits on physical hardware and simulators. It functions as a quantum algorithm framework, a circuit simulator, and a vendor-agnostic hardware interface for dispatching workloads across diverse providers. The project features a quantum circuit transpiler that optimizes abstract designs to match the specific basis gates and qubit connectivity of target hardware. It employs a pass-based transpilation pipeline and symbolic instruction translation to convert high-level circuits into hard

    Pythonpythonqiskitquantum
    Ver en GitHub↗7,522
  • adgt/pyquirkA

    adgt/pyQuirk

    0Ver en GitHub↗
    Ver en GitHub↗0
  • adgt/qonduitA

    adgt/qonduit

    0Ver en GitHub↗
    Ver en GitHub↗0
  • agnostiqhq/covalentAvatar de AgnostiqHQ

    AgnostiqHQ/covalent

    861Ver en GitHub↗

    Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

    Python
    Ver en GitHub↗861
  • artiste-qb-net/quantum-fogA

    artiste-qb-net/quantum-fog

    0Ver en GitHub↗
    Ver en GitHub↗0
  • atomistic-machine-learning/dtnnAvatar de atomistic-machine-learning

    atomistic-machine-learning/dtnn

    78Ver en GitHub↗

    Deep Tensor Neural Network

    Python
    Ver en GitHub↗78

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  • aviggiano/qclA

    aviggiano/qcl

    0Ver en GitHub↗
    Ver en GitHub↗0
  • bbn-q/adaptB

    BBN-Q/Adapt

    0Ver en GitHub↗
    Ver en GitHub↗0
  • bbn-q/quantumtomography.jlB

    BBN-Q/QuantumTomography.jl

    0Ver en GitHub↗
    Ver en GitHub↗0
  • cco3/goquC

    cco3/goqu

    0Ver en GitHub↗
    Ver en GitHub↗0
  • cda-tum/mqt-problemsolverC

    cda-tum/mqt-problemsolver

    0Ver en GitHub↗
    Ver en GitHub↗0
  • cda-tum/mqt-qaoC

    cda-tum/mqt-qao

    0Ver en GitHub↗
    Ver en GitHub↗0
  • cda-tum/mqt-qubomakerC

    cda-tum/mqt-qubomaker

    0Ver en GitHub↗
    Ver en GitHub↗0
  • dabacon/qselD

    dabacon/qsel

    0Ver en GitHub↗
    Ver en GitHub↗0
  • dingliu0305/tree-tensor-networks-in-machine-learningAvatar de dingliu0305

    dingliu0305/Tree-Tensor-Networks-in-Machine-Learning

    31Ver en GitHub↗

    This is the computational appendix for the following paper:

    Python
    Ver en GitHub↗31
  • emstoudenmire/tnmlAvatar de emstoudenmire

    emstoudenmire/TNML

    164Ver en GitHub↗

    Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

    C++
    Ver en GitHub↗164
  • entropicalabs/openqaoaE

    entropicalabs/openqaoa

    0Ver en GitHub↗
    Ver en GitHub↗0
  • fzj-pgi-12/qaoa.jlF

    FZJ-PGI-12/QAOA.jl

    0Ver en GitHub↗
    Ver en GitHub↗0
  • gbanegas/libquantumjavaG

    gbanegas/libQuantumJava

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  • google/tensornetworkAvatar de google

    google/TensorNetwork

    1,867Ver en GitHub↗

    A library for easy and efficient manipulation of tensor networks.

    Python
    Ver en GitHub↗1,867
  • hema-ted/pyzfsH

    hema-ted/pyzfs

    0Ver en GitHub↗
    Ver en GitHub↗0
  • hutchpd/quantumsuperpositionH

    hutchpd/QuantumSuperposition

    0Ver en GitHub↗
    Ver en GitHub↗0
  • ifftech/boson-samplingI

    IffTech/Boson-Sampling

    0Ver en GitHub↗
    Ver en GitHub↗0
  • ifftech/gsg-morphI

    IffTech/GSG-Morph

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  • infamousplatypus/gridsynth-python-wrapperI

    InfamousPlatypus/Gridsynth-Python-wrapper

    0Ver en GitHub↗
    Ver en GitHub↗0
  • javafxpert/quil-syntax-highlighterJ

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    0Ver en GitHub↗
    Ver en GitHub↗0
  • michaelvll/myqshorM

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  • microsoft/quantumkatasAvatar de Microsoft

    Microsoft/QuantumKatas

    4,879Ver en GitHub↗

    QuantumKatas is a set of quantum computing courseware and educational assets designed to teach the Q# programming language and quantum computing principles. It combines structured tutorials and coding tasks with interactive notebooks and a dedicated unit testing suite to validate the correctness of exercise implementations. The project provides a dockerized learning environment that packages all necessary tools and dependencies into a virtual image. This allows for the execution of quantum programming exercises without the need for local software installation. The curriculum covers qubit man

    Jupyter Notebook
    Ver en GitHub↗4,879
  • mstechly/vqfM

    mstechly/vqf

    0Ver en GitHub↗
    Ver en GitHub↗0
  • ohtu2021-kvantti/webmarkO

    ohtu2021-kvantti/WebMark

    0Ver en GitHub↗
    Ver en GitHub↗0