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Add citation of ArXiv paper (#942)
* Add paper citation * Reformat with black
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CITATION.bib

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@ARTICLE{2025arXiv250517756S,
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author = {{Sahin}, M. Emre and {Altamura}, Edoardo and {Wallis}, Oscar and {Wood}, Stephen P. and {Dekusar}, Anton and {Millar}, Declan A. and {Imamichi}, Takashi and {Matsuo}, Atsushi and {Mensa}, Stefano},
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title = "{Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators}",
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journal = {arXiv e-prints},
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keywords = {Quantum Physics, Emerging Technologies, Machine Learning, Computational Physics},
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year = 2025,
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month = may,
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eid = {arXiv:2505.17756},
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pages = {arXiv:2505.17756},
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archivePrefix = {arXiv},
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eprint = {2505.17756},
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primaryClass = {quant-ph},
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adsurl = {https://ui.adsabs.harvard.edu/abs/2025arXiv250517756S},
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adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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}
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README.md

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@@ -21,6 +21,9 @@ on the Qiskit software development kit. As of version `0.7`, Qiskit Machine Lear
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by IBM and the [Hartree Center](https://www.hartree.stfc.ac.uk/), part of the UK Science and
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Technologies Facilities Council (STFC).
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A description of the library structure, features, and domain-specific applications, can be found
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in a dedicated [ArXiv paper](https://arxiv.org/abs/2505.17756).
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The Qiskit Machine Learning framework aims to be:
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* **User-friendly**, allowing users to quickly and easily prototype quantum machine learning models without
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who contribute to the project at different levels.
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## How can I cite Qiskit Machine Learning?
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If you use Qiskit, please cite as per the provided
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[BibTeX file](https://github.com/Qiskit/qiskit/blob/main/CITATION.bib).
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If you use Qiskit Machine Learning in your work, please cite the "overview" paper to
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support the continued development and visibility of the library. The BibTeX citation handle can be found in the
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[`CITATION.bib`](./CITATION.bib) file.
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## License
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docs/conf.py

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"nbsphinx",
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"sphinx.ext.intersphinx",
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"qiskit_sphinx_theme",
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"matplotlib.sphinxext.plot_directive",
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]
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templates_path = ["_templates"]
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docs/index.rst

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@@ -14,6 +14,12 @@ on the Qiskit software development kit. As of version ``0.7``, Qiskit Machine Le
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by IBM and the `Hartree Center <https://www.hartree.stfc.ac.uk/>`__, part of the UK Science and
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Technologies Facilities Council (STFC).
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A description of the library structure, features, and domain-specific applications, can be found
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in a dedicated `ArXiv paper <https://arxiv.org/abs/2505.17756>`__. If you use Qiskit Machine Learning
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in your work, please cite this paper to support the continued development and
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visibility of the library. The **BibTeX citation handle** can be found in
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`this file <https://github.com/qiskit-community/qiskit-machine-learning/blob/main/CITATION.bib>`__.
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The Qiskit Machine Learning framework aims to be:
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* **User-friendly**, allowing users to quickly and easily prototype quantum machine learning models without
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---
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features:
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- |
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A description of the library structure, features, and domain-specific applications, can be found
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in a dedicated `ArXiv paper <https://arxiv.org/abs/2505.17756>`__. If you use Qiskit Machine Learning
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in your work, please cite this paper to support the continued development and
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visibility of the library. The **BibTeX citation handle** can be found in
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`this file <https://github.com/qiskit-community/qiskit-machine-learning/blob/main/CITATION.bib>`__.

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