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NISQAI-16bd0008de21f4b680af1cf53e3a208cd0853869 (0, 2019-03-14)
NISQAI-16bd0008de21f4b680af1cf53e3a208cd0853869\LICENSE (11357, 2019-03-14)
NISQAI-16bd0008de21f4b680af1cf53e3a208cd0853869\examples (0, 2019-03-14)
NISQAI-16bd0008de21f4b680af1cf53e3a208cd0853869\examples\one-qubit-classifier (0, 2019-03-14)
NISQAI-16bd0008de21f4b680af1cf53e3a208cd0853869\examples\one-qubit-classifier\header.png (238565, 2019-03-14)
NISQAI-16bd0008de21f4b680af1cf53e3a208cd0853869\examples\one-qubit-classifier\one-qubit-classifier.ipynb (176729, 2019-03-14)
NISQAI-16bd0008de21f4b680af1cf53e3a208cd0853869\examples\one-qubit-classifier\qnn-predictions.png (12907, 2019-03-14)
NISQAI-16bd0008de21f4b680af1cf53e3a208cd0853869\proposal (0, 2019-03-14)
NISQAI-16bd0008de21f4b680af1cf53e3a208cd0853869\proposal\nisqai.pdf (630761, 2019-03-14)

# NISQAI NISQAI is a library for quantum artificial intelligence on near-term quantum computers. For an overview of our project, please watch this short [YouTube Video](https://www.youtube.com/watch?v=_dOJ7Bhibec&t=1s). For more detailed information, please read our [project proposal](proposal/nisqai.pdf). NISQAI is currently in development. The [examples](examples/) folder contains instructive notebooks on some of our ideas, such as our [one-qubit quantum classifier](examples/one-qubit-classifier/). # Development Instructions We're happy to accept your contributions. To do so, follow these instructions: 1. Fork the development repository `rmlarose/nisqai-dev`. 1. CD into the directory with setup.py: ```cd nisqai-dev``` 1. Install the NISQAI package: ```pip install -e .``` From here, you can make your contributions on your fork, then submit a pull request. If these are unfamiliar to you, don't worry! We're happy to help. Send an email to Ryan (rlarose@umich.edu) with any questions. For ideas of what to contribute, see the issues on the development repository. # Developers * [Ryan LaRose](https://www.ryanlarose.com/) * Yousif Almulla * Nic Ezzell * Joe Iosue * Arkin Tikku # Acknowledgements The development of NISQAI is supported by the [unitary.fund](http://unitary.fund/). We thank [Will Zeng](https://twitter.com/wjzeng) for creating and running this program, as well as [John Hering](https://twitter.com/johnhering), Jeff Cordova, Nima Alidoust, and [PLOS](https://www.plos.org/) for sponsoring it.

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