Self-Adaptive System Construction for Quantum Algorithms

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum algorithms are increasingly vital for complex computations, necessitating the development of efficient and adaptable computational frameworks. This paper introduces a novel quantum algorithm design paradigm centered on the construction of adaptive quantum systems. We propose a method that dynamically adjusts the complexity of quantum circuits based on input data, significantly enhancing algorithm efficiency. This approach leverages the inherent adaptability of quantum computation to optimize performance across a wide range of problems. The core mechanism involves a layered approach to system complexity, incorporating adjustable parameters to achieve optimal results. This research addresses the limitations of static, pre-defined quantum algorithms by providing a flexible and potentially highly efficient solution.

DOI: 10.5281/zenodo.22592651

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