基于物理定律的计算模型与算法设计

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores the potential of leveraging fundamental physical laws to design novel computational models and algorithms. The core argument posits that traditional computational paradigms are limited by the constraints of classical physics. This research investigates a new approach – translating physical laws into computational models and subsequently utilizing these models to generate innovative algorithms. Specific examples will be presented, including algorithms inspired by quantum mechanics, demonstrating a shift in the computational paradigm. The aim is to establish a framework for exploring computationally intensive problems by grounding them within established physical principles, potentially leading to significant advancements in computing capabilities. The paper will detail the methodology for this approach, highlighting the key considerations in model construction and algorithm design, focusing on concepts such as wave function collapse, superposition, and entanglement as potential drivers for algorithmic innovation. Ultimately, this work seeks to demonstrate that a deeper understanding and application of physical laws can unlock new avenues for computing.

DOI: 10.5281/zenodo.22334244

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