laurent, xavier (2025) Qubit chains’ emergent behaviour from biologically-inspired dynamics. MSc by research thesis, University of York.
Abstract
Building on Torres and Manzano’s “A model of interacting quantum neurons with a dynamic synapse” (2022), our research extends the model from two to chains of qubits. By examining a three-qubit chain and longer chain we show how depression and facilitation mechanisms can significantly alter the state transfer period, modulating state localization and delocalization. Tracking entanglement dynamics reveals how these interactions impact information transfer and entanglement creation within the chain. This work can offer potential applications for quantum computing or quantum information systems.
Metadata
Supervisors: | D'Amico, Irene |
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Keywords: | neuroscience, working memory, quantum, spin chains |
Awarding institution: | University of York |
Academic Units: | The University of York > School of Physics, Engineering and Technology (York) |
Depositing User: | dr xavier laurent |
Date Deposited: | 22 Nov 2024 16:47 |
Last Modified: | 22 Nov 2024 16:47 |
Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:35896 |
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