Title: Quantum-Accelerated Symbolic Computation with Holographic Representation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum-Accelerated Symbolic Computation with Holographic Representation addresses the limitations of traditional symbolic computation by introducing a novel framework leveraging holographic representations to significantly enhance computational efficiency. The core claim centers on the ability to represent and manipulate symbolic logic within a holographic projection, facilitating faster and more scalable computations. This work presents a preliminary investigation into this approach, focusing on demonstrating potential improvements in symbolic reasoning and manipulation compared to existing methods. The paper begins with a detailed explanation of the holographic concept, its application to symbolic systems, and the proposed architecture for this quantum computational system. It then outlines the initial implementation and results, highlighting the benefits of the holographic representation for symbolic processing. Finally, the paper concludes with a discussion of future research directions and potential impact.

DOI: 10.5281/zenodo.22577417

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