Quantum Adaptive Computation Paradigm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Adaptive Computation Paradigm explores a novel approach to quantum computing that dynamically adjusts computation strategies based on the results of each task. This paradigm shifts away from fixed, static algorithms, enabling quantum systems to adapt to varying input data and evolving computational needs. The core mechanism involves the implementation of quantum self-adaptive algorithms, which continuously monitor and adjust quantum parameters and policies during execution. This dynamic adjustment allows for enhanced performance and efficiency, offering a significant departure from traditional approaches. The study proposes a framework for dynamically optimizing quantum computation through continuous parameter refinement.

DOI: 10.5281/zenodo.22263563

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