Date of Award
8-22-2025
Date Published
September 2025
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Electrical Engineering and Computer Science
Advisor(s)
Jack Graver
Second Advisor
Chilukuri Mohan
Keywords
Distributed Systems;Quantum Communication;Quantum Computing;Quantum Information;Quantum Networks
Subject Categories
Computer Sciences | Physical Sciences and Mathematics
Abstract
We introduce the Blind Quantum Diffusion Network (BQDN), a quantum computational framework designed for distributed systems operating under conditions of partial observability and asynchronous communication. BQDN generalizes the structure of Generalized Boolean Networks (GBNs) by replacing classical multivalued logic nodes with quantum registers, enabling the use of superposition, entanglement, and unitary evolution to model distributed computation and state propagation. Building on the properties of W-states and quantum teleportation protocols, the BQDN leverages entangled coin registers and a token-based control mechanism to implement blind diffusion across a graph. The system achieves synchronization-free evolution without classical coordination by embedding decision-making within quantum superpositions and using local measurements for conditional branching. The model avoids deadlock and contention through provable structural guarantees and employs a novel application of W-States to control state transition. Simulation results demonstrate the effectiveness of this approach in controlling diffusion. This work contributes both theoretical models and implementable algorithms for scalable quantum networked systems.
Access
Open Access
Recommended Citation
Vining, John Carver, "A Model of Blind Quantum Diffusion" (2025). Dissertations - ALL. 2201.
https://surface.syr.edu/etd/2201
