Add citation of ArXiv paper

CITATION.bib

@@ -0,0 +1,16 @@
+@ARTICLE{2025arXiv250517756S,
+       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},
+        title = "{Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators}",
+      journal = {arXiv e-prints},
+     keywords = {Quantum Physics, Emerging Technologies, Machine Learning, Computational Physics},
+         year = 2025,
+        month = may,
+          eid = {arXiv:2505.17756},
+        pages = {arXiv:2505.17756},
+archivePrefix = {arXiv},
+       eprint = {2505.17756},
+ primaryClass = {quant-ph},
+       adsurl = {https://ui.adsabs.harvard.edu/abs/2025arXiv250517756S},
+      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
+}
+

README.md

@@ -21,6 +21,9 @@ on the Qiskit software development kit. As of version `0.7`, Qiskit Machine Lear
 by IBM and the [Hartree Center](https://www.hartree.stfc.ac.uk/), part of the UK Science and 
 Technologies Facilities Council (STFC).
 
+A description of the library structure, features, and domain-specific applications, can be found 
+in a dedicated [ArXiv paper](https://arxiv.org/abs/2505.17756).
+
 The Qiskit Machine Learning framework aims to be:
 
 * **User-friendly**, allowing users to quickly and easily prototype quantum machine learning models without 
@@ -188,8 +191,9 @@ work of
 who contribute to the project at different levels.
 
 ## How can I cite Qiskit Machine Learning?
-If you use Qiskit, please cite as per the provided
-[BibTeX file](https://github.com/Qiskit/qiskit/blob/main/CITATION.bib).
+If you use Qiskit Machine Learning in your work, please cite the "overview" paper to 
+support the continued development and visibility of the library. The BibTeX citation handle can be found in the 
+[`CITATION.bib`](./CITATION.bib) file.
 
 ## License
 

docs/conf.py

@@ -91,6 +91,7 @@
     "nbsphinx",
     "sphinx.ext.intersphinx",
     "qiskit_sphinx_theme",
+    "matplotlib.sphinxext.plot_directive",
 ]
 templates_path = ["_templates"]
 

docs/index.rst

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

releasenotes/notes/overview-paper-citation-9018d7a6c11ebf2f.yaml

@@ -0,0 +1,8 @@
+---
+features:
+  - |
+    A description of the library structure, features, and domain-specific applications, can be found
+    in a dedicated `ArXiv paper <https://arxiv.org/abs/2505.17756>`__. If you use Qiskit Machine Learning
+    in your work, please cite this paper to support the continued development and
+    visibility of the library. The **BibTeX citation handle** can be found in
+    `this file <https://github.com/qiskit-community/qiskit-machine-learning/blob/main/CITATION.bib>`__.