Adaptive Quantum Stealth Computing Optimization

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper investigates the potential of adaptive quantum stealth computing, a novel approach that leverages the properties of quantum topology to enhance privacy and security. The core concept revolves around dynamically adjusting the quantum state's topology to optimize for both stealth and computational efficiency. The study explores the impact of various topological features – specifically self-interference, self-aggregation, and topological twist – on the resulting quantum state, ultimately aiming to surpass existing algorithms in both robustness and performance. The research employs a theoretical framework based on the fundamental principles of quantum topology and presents a novel algorithm architecture designed to exploit these principles. We demonstrate the efficacy of this approach through simulations, showcasing a significant improvement in privacy protection and computational throughput compared to traditional methods.

DOI: 10.5281/zenodo.22332228

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