Quantum Computation and Language Models: Models of computation, a cleaned separation, three embeddings, and quantum natural language processing
This KSCCN teaching note collects the durable pieces of an inquiry into the relation between quantum computation and large language models. It is a teaching document, not a claim of advantage. What remains is the model distinction, the 2026 IBM separation stated at the width of its theorems, the three ways an existing language model can meet a quantum processor, and the record of quantum natural language processing. The organising claim is anatomical. A quantum computer and a language model answer different questions. One is a physical model of computation whose allowed maps are unitary until measurement. The other is a fitted classical map from token strings to token strings. They meet only when both are forced into the same formal task, or when one is used as a subroutine of the other. Neither meeting converts one into the other. KSCCN Teaching Note. Dr. Syed Muntasir Mamun, ORCID 0000-0001-6845-2853.
Authors
- Syed Muntasir Mamun (ORCID: https://orcid.org/0000-0001-6845-2853)
Institutions
- Ministry of Foreign Affairs, Dhaka
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-01
- DOI
- https://doi.org/10.5281/zenodo.23089102
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00