Quantum Adaptive Computing Paradigm

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum Adaptive Computing Paradigm (QACP) presents a novel approach to quantum computation that dynamically adjusts computational strategies and quantum state optimization based on task complexity and data volume. This paradigm aims to overcome limitations of static quantum algorithms by enabling a self-optimizing system. The core mechanism focuses on a quantum circuit generator that intelligently adjusts qubit parameters and entanglement management to maximize computational performance. This research explores the design and implementation of a QACP system, demonstrating its potential for significantly enhancing quantum computing capabilities across a range of applications. The paper presents a conceptual framework and preliminary results, showcasing the benefits of this dynamically adaptive approach.

DOI: 10.5281/zenodo.22295199

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