Talk:Quantum machine learning
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Wiki Education Foundation-supported course assignment
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This article is or was the subject of a Wiki Education Foundation-supported course assignment. Further details are available on the course page. Student editor(s): Wadams3, Dbaror. Peer reviewers: Moonunit42, Jfailla1.
Above undated message substituted from Template:Dashboard.wikiedu.org assignment by PrimeBOT (talk) 02:54, 18 January 2022 (UTC)
Wiki Education Foundation-supported course assignment
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This article was the subject of a Wiki Education Foundation-supported course assignment, between 20 August 2020 and 23 November 2020. Further details are available on the course page. Student editor(s): Afk2231, Zpopovych. Peer reviewers: SladeWillson, AsherJ22.
Above undated message substituted from Template:Dashboard.wikiedu.org assignment by PrimeBOT (talk) 02:54, 18 January 2022 (UTC)
"Connected contributor" tag
[edit]@Headbomb: I'm not sure if I understand this cleanup tag here. Do any of this article's authors have an apparent conflict of interest? Jarble (talk) 01:16, 3 December 2018 (UTC)
- See Wikipedia talk:WikiProject Physics/Archive September 2018#COI/POV check at Quantum machine learning?. Headbomb {t · c · p · b} 02:20, 3 December 2018 (UTC)
- The cleanup tag says that "A major contributor to this article appears to have a close connection with its subject." - but in this case, the subject is "Quantum machine learning", and there is nothing wrong with that. It is perhaps not OK to use one's own work as a source, but if it's wrong, it's wrong regardless of whether one has a close connection with the subject or not. That's why I don't like the use of the COI template in cases like these: its wording is misleading. GregorB (talk) 16:37, 3 October 2019 (UTC)
- @Headbomb: This article's was written by many contributors; who is accused of having a conflict of interest here? Jarble (talk) 18:44, 11 January 2024 (UTC)
- See link above. Headbomb {t · c · p · b} 21:04, 11 January 2024 (UTC)
- sorry, I'm just seeing this now. But I'm not seeing any specific issue with conflicts of interest in the article. Obviously the people that contributed to it work in the field and therefore might have papers cited in it, but there's no blatant self-adversing that I can see. If anything, you might argue that it needs updating, but that's hardly ever not going to be the case in such a rapidly evolving field. Luca (talk) 10:33, 15 October 2024 (UTC)
- See link above. Headbomb {t · c · p · b} 21:04, 11 January 2024 (UTC)
Proposing Split
[edit]As far as I can see, there are two different things being talked about in this article at the moment. There's machine learning on quantum computers (section 1), and classical machine learning for quantum mechanics problems (section 2). I'd suggest that the former stay as Quantum machine learning (since it's the more common use for the phrase), and the latter move to Quantum machine learning (physics). Thoughts? ArguMentor (talk) 11:34, 14 February 2019 (UTC)
- I agree with the split, but Quantum machine learning (physics) seems more ambiguous than, say, Machine learning in quantum physics or a similar analog. 205.175.118.118 (talk) 21:42, 21 March 2019 (UTC)
- I agree with the split, and that Machine learning in quantum physics is a good choice for the new article. Maybe Machine learning of quantum physics, alternatively. Fawly (talk) 19:22, 30 June 2019 (UTC)
- Did a bold split; please let me know if I made any errors. Fawly (talk) 05:47, 27 July 2019 (UTC)
- @Fawly: what happened to the split?--ReyHahn (talk) 10:12, 9 April 2020 (UTC)
- I agree with the split. The article talks a lot about the physics side of quantum machines so "physics" should be included in the title. Alexam22 (talk) 01:33, 4 November 2023 (UTC)
Wiki Education assignment: Quantum Information Science and Engineering
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This article was the subject of a Wiki Education Foundation-supported course assignment, between 22 August 2022 and 9 December 2022. Further details are available on the course page. Student editor(s): Shaanvi D, Rpaudel1 (article contribs). Peer reviewers: Tkout2, Oliviazorrilla.
— Assignment last updated by Za49 (talk) 05:23, 30 November 2022 (UTC)
Wiki Education assignment: Linguistics in the Digital Age
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This article was the subject of a Wiki Education Foundation-supported course assignment, between 21 August 2023 and 11 December 2023. Further details are available on the course page. Student editor(s): Alexam22 (article contribs).
— Assignment last updated by Fedfed2 (talk) 00:54, 9 December 2023 (UTC)
Suggested addition: 2026 superconducting QSVM hardware demonstration (COI disclosure)
[edit]Hello editors,
I would like to suggest a one-sentence addition to the Implementations and experiments section, and I am disclosing a conflict of interest up front per WP:SELFCITE and WP:COI: I am the author of the paper I am proposing as a citation. For that reason I am not editing the article directly and am leaving the decision to uninvolved editors.
Observation about the current section. The Implementations and experiments section catalogs hardware demonstrations of QML chronologically: D-Wave car detection (2009), NMR Hopfield network (2009), NMR-based QSVM digit classification (2015), photonic distance estimation (2015), trapped-ion reinforcement learning (2018), and photonic agent–environment RL (2021). The section currently contains no entry for a quantum-kernel / QSVM demonstration on a superconducting NISQ processor, despite IBM's cloud platform being mentioned in the same section since 2016. This is a genuine gap.
Proposed addition (one sentence, to be inserted after the IBM Q Experience sentence):
In 2026, a quantum support vector machine using an 8-qubit ZZFeatureMap kernel was executed on IBM's 156-qubit superconducting ibm_fez processor for anomaly detection on industrial control system datasets, with the hardware demonstration reporting a fidelity gap of approximately 17–20% relative to noise-free statevector simulation.
Proposed citation:
Badami, S. (2026). "Hardware-Agnostic Quantum Kernel Feature Mapping for Anomaly Detection in Critical Infrastructure: A Cross-Testbed Validation on NISQ Processors." IEEE Access, 14, 49642–49654. doi:10.1109/ACCESS.2026.3679234. Open access (CC BY 4.0). Job identifiers and reproducibility artifacts are public (IBM Quantum job IDs d5l9htjh36vs73bgsi3g and d5l9huk8d8hc73cfb0pg; code at github.com/Ali-Badami/Quantum-IDS).
Why I think this is a reasonable addition rather than promotion:
- It fills a specific factual gap (superconducting-hardware QSVM demonstration) in a section explicitly dedicated to listing such demonstrations.
- The sentence reports a specific quantitative experimental result and does not editorialize.
- The underlying experiment is independently verifiable — the IBM Quantum job IDs and code are public.
- The journal is a peer-reviewed, indexed venue (IEEE Access, open access).
I am happy to be told this does not meet the bar for inclusion, or to have the wording changed by any editor who thinks a different framing is more appropriate. If editors prefer to wait for secondary coverage before inclusion, I understand.
Thanks for considering it.
