Description:

qiskitalgorithms 0.3.0

Qiskit Algorithms

Installation
We encourage installing Qiskit Algorithms via the pip tool (a python package manager).
pip install qiskit-algorithms

pip will handle all dependencies automatically and you will always install the latest
(and well-tested) version.
If you want to work on the very latest work-in-progress versions, either to try features ahead of
their official release or if you want to contribute to Algorithms, then you can install from source.
To do this follow the instructions in the
documentation.

Optional Installs
Some optimization algorithms require specific libraries to be run:


Scikit-quant, may be installed using the command pip install scikit-quant.


SnobFit, may be installed using the command pip install SQSnobFit.


NLOpt, may be installed using the command pip install nlopt.



Contribution Guidelines
If you'd like to contribute to Qiskit Algorithms, please take a look at our
contribution guidelines.
This project adheres to Qiskit's code of conduct.
By participating, you are expected to uphold this code.
We use GitHub issues for tracking requests and bugs. Please
join the Qiskit Slack community
and for discussion and simple questions.
For questions that are more suited for a forum, we use the Qiskit tag in Stack Overflow.
Authors and Citation
Qiskit Algorithms was inspired, authored and brought about by the collective work of a team of researchers.
Algorithms continues to grow with the help and work of
many people, who contribute
to the project at different levels.
If you use Qiskit, please cite as per the provided
BibTeX file.
License
This project uses the Apache License 2.0.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

Share

• Share on Facebook
• Share on Twitter