Quantum State Adaptive Computation Paradigm Extension

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum state adaptive computation is a promising paradigm for quantum computing that leverages the inherent dynamism of quantum states to achieve enhanced computational capabilities. This paper introduces a novel framework, "Quantum State Adaptive Computation Paradigm Extension," designed to automatically adjust computational paradigms based on real-time quantum state evolution. The core mechanism centers around a machine learning algorithm that iteratively refines the computation's dynamic structure, optimizing for specific problem characteristics. We demonstrate the framework's effectiveness through a series of simulations and analyses, showcasing its potential to address limitations of existing quantum algorithms, particularly in scenarios requiring adaptive optimization.

DOI: 10.5281/zenodo.22467929

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