Non-Von Neumann Architecture Quantum Computing Resource Allocation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper addresses the critical challenge of resource allocation in quantum computing, moving beyond the constraints of traditional Von Neumann architectures. The core argument centers on designing a dynamic resource allocation mechanism leveraging the inherent properties of quantum mechanics – superposition and entanglement – to maximize resource utilization and computational efficiency. This is achieved through the introduction of quantum resource entropy, a novel metric for quantifying resource utilization. We propose a quantum resource allocation algorithm predicated on this entropy value, facilitating dynamic optimization of quantum resources. The novelty lies in recognizing the fundamental differences between quantum and classical computing and adapting resource management strategies accordingly. The proposed approach offers a potential pathway towards more efficient and effective quantum computation by intelligently responding to the fluctuating demands of quantum algorithms. The research explores the theoretical underpinnings of this dynamic allocation and suggests future directions for development and implementation.

DOI: 10.5281/zenodo.22635897

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