Self-Adapting Quantum Algorithms

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel quantum algorithm, termed "Self-Adapting Quantum Algorithms" (SAQA), designed to enhance the efficiency and accuracy of quantum computations. Traditional quantum algorithms often rely on fixed, pre-defined procedures, presenting limitations in their adaptability and performance. SAQA leverages the unique characteristics of self-adaptive quantum algorithms to dynamically adjust parameters and quantum states, enabling a more flexible and robust approach to problem-solving. We explore the core mechanism behind this adaptation, detailing how the algorithm iteratively refines its quantum state to optimize performance based on the input data and the algorithm's progress. The paper presents a theoretical framework and initial experimental results demonstrating the potential of SAQA to outperform conventional algorithms in specific, carefully selected scenarios. The core claim of this work is that SAQA offers a significant improvement in efficiency and accuracy through adaptive parameter adjustments.

DOI: 10.5281/zenodo.22635645

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