Quantum Adaptive Computing: A Paradigm Shift

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum Adaptive Computing (QAC) represents a paradigm shift in computation, leveraging the unique properties of quantum entanglement to enhance computational efficiency and accuracy. This paper investigates a refined QAC framework centered on the decomposition of complex computations into sequential quantum states, specifically utilizing dynamic entanglement to guide the algorithm's evolution. We present a novel design incorporating a layered approach, optimizing for optimal entanglement manipulation and subsequent measurement strategies. The core mechanism focuses on meticulously orchestrating entanglement to reduce the number of necessary quantum operations, thereby improving computational performance. This work demonstrates the potential of QAC to surpass traditional computational methods across a spectrum of problems, particularly those exhibiting inherent entanglement dynamics.

DOI: 10.5281/zenodo.22517507

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