Draft talk:Guillaume Verdon
Latest comment: 4 months ago by Pmaccabe in topic Discussion on notability
Discussion on notability
editIts unlcear why this person is not considered notable from both an e/acc perspective, but even more so for their involvement and pioneering of the Quantum Machine Learning field [1][2][3]. This person is one of the original creators of the Tensorflow Quantum package [4], an add-on to the well known Deep Learning library Tensorflow.
This person has several impactful scientific publications in quantum information science and quantum machine learning. Additionally they have several patents on quantum computing related technology. [5]
Xirtam Esrevni (talk) 07:38, 9 March 2024 (UTC)
- The reviewer also sadly ignored (or dismissed) that the first non-trivial coverage of him by Business Insider using his pseudonym pre-dated his outing by Forbes. When Forbes outed him, his background in computing and computer science was deeply relevant to his credibility, they might reasonably have noted and mocked if he was an uneducated janitor or kid in his mom's basement, but he had substantial work history and research contributions relevant to the e/acc movement & its focus on advancing technological innovation, especially in computing. This was enough for Business Insider again to cover and other outlets like CNBC, not juat his outing but the movement & his background that made it newsworthy. The declined submission is clear that the standards that are purported to apply for general notability (multiple, including independent, instances of coverage by established and reliable sources) are by some subjective judgment insufficient arbitrarily. Two of the above references are already in the article. I'd most appreciate any other notable press or other coverage being called out. Phil (talk) 02:48, 20 April 2024 (UTC)
- ^ Bilkis, M.; Cerezo, M.; Verdon, Guillaume; Coles, Patrick J.; Cincio, Lukasz (December 2023). "A semi-agnostic ansatz with variable structure for variational quantum algorithms". Quantum Machine Intelligence. 5 (2). doi:10.1007/s42484-023-00132-1.
- ^ Larocca, Martín; Sauvage, Frédéric; Sbahi, Faris M.; Verdon, Guillaume; Coles, Patrick J.; Cerezo, M. (19 September 2022). "Group-Invariant Quantum Machine Learning". PRX Quantum. 3 (3). doi:10.1103/PRXQuantum.3.030341.
- ^ Perrier, Elija; Youssry, Akram; Ferrie, Chris (23 September 2022). "QDataSet, quantum datasets for machine learning". Scientific Data. 9 (1). doi:10.1038/s41597-022-01639-1.
- ^ "TensorFlow Quantum: A Software Framework for Quantum Machine Learning". arXiv. doi:10.48550/arXiv.2003.02989.
- ^ "Google Patents". patents.google.com.