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"Orquestra Core meta-package"

Project description

orquestra-core

What is it?

Orquestra Core is a set of libraries used for quantum computing developed by Zapata Computing. It's a part of Orquestra platform, but can be used as standalone Python libraries. For more details please refer to the documentation

Orquestra Core comprises of the following packages:

  • orquestra-quantum provides

    • core functionalities required to run experiments, such as the Circuit class.
    • interfaces for implementing other Orquestra modules, such as quantum backends.
    • basic data structures and functions for quantum computing.
  • orquestra-opt provides:

    • interfaces for implementing ansatzes including qaoa and qcbm.
    • optimizers and cost functions tailored to opt
    • misc functions such as grouping, qaoa interpolation, and estimators
  • orquestra-vqa provides:

    • interfaces for implementing ansatzes including qaoa and qcbm.
    • optimizers and cost functions tailored to vqa
    • misc functions such as grouping, qaoa interpolation, and estimators
  • orquestra-qiskit – integration with qiskit.

  • orquestra-cirq – integration with CirQ.

  • orquestra-forest – integration with Forest SDK.

  • orquestra-qulacs – integration with Qulacs simulator.

Installation

To install the latest versions of all of the Orquestra Core packages together run:

pip install orquestra-core

Keep in mind, that some of the packages have extra installation options, so there might be certain features unavailable if installed this way. However, all the components of Orquestra Core can be installed separately as well, e.g.:

pip install orquestra-quantum
pip install orquestra-opt[qubo]

Usage

For examples and tutorials please refer to the documentation.

Bug Reporting

If you'd like to report a bug/issue please create a new issue in appropriate repository. When in doubt, feel free to create issue in this repo.

Contributing

Please see our CONTRIBUTING.md for more information on contributing to Orquestra Core.

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orquestra-core-0.3.0.tar.gz (24.4 kB view hashes)

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