Dynamic Memory Allocation and Quantum Computing Synergy

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper explores a novel approach to quantum computing by integrating dynamic memory allocation techniques with quantum algorithms. The core idea is to leverage quantum entanglement to construct a dynamic memory structure for quantum data, enabling efficient storage and manipulation. We propose a framework where quantum algorithms operate directly on this dynamically structured memory, significantly improving both the efficiency and scalability of quantum computations. The theoretical foundations of this synergy are presented, outlining the mathematical framework and key concepts. The primary focus is on the optimization of quantum data storage and retrieval, addressing limitations inherent in traditional quantum memory models. The presented methodology offers a promising pathway for advancing quantum computing, particularly in scenarios demanding adaptable and resource-conscious quantum algorithms. The work details a method for representing quantum states within a dynamically allocated memory space, utilizing entanglement to facilitate rapid state access and modification. Mathematical notation is used throughout to formally define the concepts and algorithms.

DOI: 10.5281/zenodo.22220707

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