Lo, Kin Ian;
(2025)
Quantum Contextuality in Natural Language.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
Quantum computing has demonstrated computational advantages over classical computing, yet its applications to natural language processing (NLP) remain in their early stages. Quantum contextuality, a fundamental feature of quantum mechanics, has been identified as a resource for achieving these advantages. Meanwhile, ambiguities in human languages present challenges in building systems capable of understanding and generating natural language. Many of these ambiguities can be addressed by considering the context in which they arise. This thesis investigates the connection between quantum contextuality and ambiguities in natural language. It introduces a framework that models ambiguities in language as a form of measurement, analogous to physical experiments. The findings reveal that contextuality is present in natural language and that its degree is linked to the reasoning capabilities of large language models (LLMs).
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Quantum Contextuality in Natural Language |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author 2025. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10215386 |
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