Title: Quantum Information Thermodynamics for Algorithm Design

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum Information Thermodynamics (QIT) offers a novel perspective on algorithm design, leveraging the principles of thermodynamics to understand and optimize the process of evaluation and improvement. This paper proposes a framework that connects algorithm performance to the fundamental thermodynamic laws governing information flow, resource utilization, and stability. We argue that traditional algorithmic approaches often fail to fully capture the complexities of information processing, and QIT provides a pathway to develop algorithms with enhanced robustness, efficiency, and adaptability. The core mechanism involves identifying and manipulating key thermodynamic parameters within the algorithm's evaluation cycle, ultimately leading to improved performance metrics. This work aims to contribute to a more comprehensive understanding of algorithm optimization and provides a foundation for future research in this rapidly evolving field.

DOI: 10.5281/zenodo.22158263

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