QAOA Training Pipeline

A pipeline and methods to generate good parameters for QAOA ansatz circuits, training variational parameters on classical hardware.

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  Limited support experimental(1)

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  Interfaces Python(1) Command-line interface (CLI)(2)

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  2. All the projects with Command-line interface (CLI) interface

  Category Application(1)

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  Labels optimization(1) tensor networks(2) research(3)

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  2. All the projects labeled with tensor networks
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Checkups

Check up	Importance	What is failing	Days left	Discussion
[Q03] Have a cap on the major version for the qiskit dependency	RECOMMENDATION	The qiskit requirement in the qaoa-training-pipeline manifest in the repository allows a not-yet-released major version of Qiskit	175	Issue asking for the cap submitted https://github.com/qiskit-community/qaoa_training_pipeline/issues/91, waiting for the fix · discussion

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Packages

pip-installable repo	Version	Requires Python	Declared in
qaoa-training-pipeline	—	>=3.11	pyproject.toml, setup.py

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Qiskit requirements

Declared in	Requires	V1	V2	Highest supported
repo qaoa-training-pipeline	>=0			2.5.2