Probability Geometric Optimization for Quantum Computing Resource Utilization

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper explores the application of probability geometry to optimize resource utilization within quantum computing systems. The core claim is that a novel probability geometric algorithm can significantly enhance the efficiency of quantum computations by dynamically adjusting resource allocation based on probabilistic outcomes. We present a framework that leverages the principles of probability space exploration to identify and mitigate potential bottlenecks in quantum algorithm execution. The research demonstrates the potential for substantial gains in computational speed and reduced error rates through this approach, offering a fundamentally different perspective on resource management within quantum computing. The study will analyze the algorithm's performance across a range of quantum computing tasks, comparing it to traditional optimization techniques.

DOI: 10.5281/zenodo.22249768

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