Title: Modular Quantum Computation via Entangled Resource Allocation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the potential of modular quantum computation, leveraging entangled resource allocation to achieve unprecedented parallelism. Traditional quantum algorithms often struggle with limited computational resources, hindering their scalability. We propose a novel architecture centered on the concept of a 'Quantum Resource Pool' – a dynamically adjusted collection of entangled qubits – which distributes computational tasks across the pool, governed by a feedback loop. This approach aims to overcome the limitations of existing quantum algorithms by effectively exploiting the inherent correlations within entangled states. The paper details the design of the resource pool, the feedback mechanism, and a preliminary analysis of its potential benefits for quantum computation.

DOI: 10.5281/zenodo.22269870

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