Quantum Random Access Memory (QRAM) Assisted Distributed Computing

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper presents a novel theoretical framework for leveraging Quantum Random Access Memory (QRAM) within a distributed computing paradigm. The core argument revolves around the established communication bottleneck as a primary impediment to the scalability of traditional distributed algorithms. We propose an algorithm architecture designed to specifically exploit the unique capabilities of QRAM, aiming to achieve exponential speedups for selected computational tasks. Unlike previous conceptual explorations, this work provides a rigorous mathematical formulation and analysis of the proposed approach. The framework centers on a massively parallel computation strategy, where QRAM facilitates near-instantaneous access to data elements, effectively eliminating the latency constraints that typically plague distributed systems. We detail the algorithm's structure, including data partitioning, quantum state manipulation, and the resulting computation. Furthermore, we explore the theoretical limitations and potential improvements of the system. The ultimate goal is to demonstrate a scalable and efficient distributed computing solution utilizing QRAM, pushing the boundaries of computational performance for complex problems.

DOI: 10.5281/zenodo.22248390

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