Probability Logic Framework for Quantum Computing Assistance Algorithms

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the application of a probabilistic logic framework to design quantum computing assistance algorithms. We propose a novel algorithm that leverages the unique properties of quantum computation, specifically quantum superposition and entanglement, to optimize and accelerate probabilistic operations within quantum circuits. The core mechanism centers around intelligently utilizing quantum phenomena to enhance the performance of existing quantum algorithms. The design aims to improve computational efficiency and address challenges associated with traditional quantum computing techniques. The paper presents a detailed analysis of the proposed framework, demonstrating its potential for significant advancements in quantum algorithm design and optimization.

DOI: 10.5281/zenodo.22192736

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