Title: Quantum-Inspired Algorithmic Complexity Reduction (QIA-CR)

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum-Inspired Algorithmic Complexity Reduction (QIA-CR) is a novel framework designed to substantially accelerate the computational complexity of optimization algorithms through the strategic application of quantum principles. This paper presents a comprehensive overview of the proposed method, detailing the core mechanism, the underlying theoretical foundations, and preliminary experimental results demonstrating its effectiveness in reducing computational bottlenecks. The focus is on leveraging quantum phenomena—specifically superposition and entanglement—to enhance the search process and improve the efficiency of optimization techniques. The core claim is that this approach will dramatically lower the computational cost of algorithms currently employed, offering a significant advancement in the field of computational complexity.

DOI: 10.5281/zenodo.22186081

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