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Extend the power of Qiskit

The Qiskit ecosystem is a collection of tools created by researchers and developers who use Qiskit every day.


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  • Types
    • Application package
    • Compute provider
    • Circuit building tool
    • Circuit simulator
    • Converter
    • Game
    • Paper implementation
    • Software development kit
    • Transpiler plugin
  • Subjects
    • Algorithms
    • Chemistry
    • Error correction
    • Error mitigation
    • Finance
    • Machine learning
    • Optimization
    • Physics
    • Quantum information
    TorchQuantum

    A PyTorch-centric hybrid classical-quantum dynamic neural networks framework.

    Qiskit Machine Learning

    Use flexible building blocks, such as quantum kernels and neural networks, to create quantum machine learning algorithms.

    Aer

    High-performance quantum computing simulators with realistic noise models.

    Mitiq

    Mitiq is a Python toolkit for implementing error mitigation techniques on quantum computers.

    Qiskit Nature

    Model and solve problems in physics, chemistry, material science, and biology by using quantum simulations.

    Qiskit Finance

    Includes uncertainty components for stock/securities problems, Ising translators for portfolio optimizations, and data providers.

    Qiskit Optimization

    Model optimization problems, convert them between different representations, and solve them with quantum algorithms.

    Pennylane-Qiskit

    The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework with PennyLane's quantum machine learning capabilities.

    Qiskit Experiments

    Run characterizing, calibrating, and benchmarking experiments.

    RasQberry

    RasQberry is a functional model of IBM Quantum System One, and can run Qiskit on the integrated Raspberry Pi

    Azure Quantum

    Submit quantum jobs written in Q#, Qiskit, or Cirq to the Azure Quantum service.

    QPong

    A quantum version of the classic game Pong built with Qiskit and PyGame.

    Qiskit Algorithms

    A library of quantum algorithms for near-term quantum devices with short-depth circuits.

    Qiskit Dynamics

    Build, transform, and solve time-dependent quantum systems.

    Circuit Knitting Toolbox

    Cut large circuits into smaller, hardware-executable circuits, then use their results to reconstruct the original outcome.

    Qiskit QEC

    For quantum error correction developers, experimentalists, and theorists.

    qBraid

    The qBraid-SDK is a Python toolkit for cross-framework abstraction, transpilation, and execution of quantum programs.

    Qiskit Serverless

    Execute Qiskit programs as long-running jobs and distribute them across many CPUs, GPUs, and QPUs.


    Get involved

    Contribute to an existing ecosystem project
    Navigate to a project’s GitHub repository to find instructions for opening issues and feature requests. Your contributions can help improve the quality and usability of the ecosystem.
    Add your own project
    Submit your open-source project to the ecosystem repository.
    Contribute to the Qiskit SDK
    Check out the Qiskit SDK contribution guidelines to learn how to improve the core Qiskit software.