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A toolbox for the implementation of positive operator-valued measures (POVMs).

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qiskit-community/povm-toolbox

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POVMs

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About

overview

This is a toolbox for working with positive operator-valued measures (POVMs). It enables users to use POVMs for sampling the state of quantum circuits (see also povm_toolbox.sampler) and compute expectation values of any observable of interest (see also povm_toolbox.post_processor). The toolbox includes a library of pre-defined POVMs (see povm_toolbox.library) which provide ready-to-go POVM circuit definitions. You can also implement your own POVM circuits by following the provided interface. Additionally, you can work with POVMs on a quantum-informational theoretical footing (see povm_toolbox.quantum_info).


Documentation

All documentation is available at https://qiskit-community.github.io/povm-toolbox/.


Installation

We encourage installing this package via pip, when possible:

pip install 'povm-toolbox'

For more installation information refer to these installation instructions.


Deprecation Policy

We follow semantic versioning and are guided by the principles in Qiskit's deprecation policy. We may occasionally make breaking changes in order to improve the user experience. When possible, we will keep old interfaces and mark them as deprecated, as long as they can co-exist with the new ones. Each substantial improvement, breaking change, or deprecation will be documented in the release notes.


Contributing

The source code is available on GitHub.

The developer guide is located at CONTRIBUTING.md in the root of this project's repository. By participating, you are expected to uphold Qiskit's code of conduct.

We use GitHub issues for tracking requests and bugs.


Citation

If you use this project, please cite the following reference:

Laurin E. Fischer, Timothée Dao, Ivano Tavernelli, and Francesco Tacchino "Dual-frame optimization for informationally complete quantum measurements" Phys. Rev. A 109, 062415 DOI: https://doi.org/10.1103/PhysRevA.109.062415


License

Apache License 2.0

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A toolbox for the implementation of positive operator-valued measures (POVMs).

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