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puckvg authored Feb 20, 2024
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## About [](#contents)

Q-stack is a stack of codes for dedicated pre- and post-processing tasks for Quantum Machine Learning (QML). It is a work in progress, and will be updated soon.
Q-stack is a stack of codes for dedicated pre- and post-processing tasks for Quantum Machine Learning (QML). It is a work in progress. Stay tuned for updates!

For now, we link to the relevant packages that will be incorporated (among others):
- https://github.com/lcmd-epfl/azo-xcite-tools
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- https://github.com/lcmd-epfl/ml-density
- https://github.com/lcmd-epfl/OTPD-basis

Stay tuned for updates!

## Install [](#contents)

The installation of the library for python use can be done executing the following commands:
Expand Down Expand Up @@ -86,7 +84,7 @@ Digital Discovery, *1*, 286–294 (2022)
* P. van Gerwen, A. Fabrizio, M. Wodrich and C. Corminboeuf,
"Physics-based representations for machine learning properties of chemical reactions",
Machine Learning: Science and Technology, **3**, 045005 (2022)
[![DOI]((https://img.shields.io/badge/DOI-10.1088/2632-2153/ac8f1a-blue)])](https://doi.org/10.1088/2632-2153/ac8f1a)
[![DOI]((https://img.shields.io/badge/DOI-10.1088%2F2632-2153%2Fac8f1a?color=blue)])](https://doi.org/10.1088/2632-2153/ac8f1a)


## Acknowledgements [](#contents)
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