Title: Adaptive Quantum Self-Adaptation Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum computing, introducing an Adaptive Quantum Self-Adaptation Algorithm (ASSA). Traditional quantum computation relies heavily on explicit parameter adjustments, which can be time-consuming and limit computational efficiency. ASSA dynamically adjusts quantum parameters based on the input data, enabling precise modeling and simulation of quantum system behavior. We detail the algorithm's core mechanisms, explore its advantages over existing methods, and discuss its potential impact on quantum algorithm design and performance. This work addresses a critical challenge in quantum computing: the need for more flexible and efficient parameter optimization.

DOI: 10.5281/zenodo.22183933

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