Quantum Geometry Adaptive Computation Paradigm

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum Geometry Adaptive Computation Paradigm (QGCACP) is a novel computational framework predicated on the principles of quantum geometry. This paradigm leverages the inherent self-adaptive nature of quantum geometric systems to optimize computation, offering enhanced efficiency and potential for novel algorithmic development. The core mechanism centers around a dynamically adjusting optimization algorithm, intricately tied to the system's evolving state. This approach aims to surpass the limitations of traditional computational approaches by adapting to the system's inherent dynamics. This paper outlines the design of QGCACP, detailing its core concepts, the rationale behind its design, and preliminary results demonstrating its potential for improved quantum computing performance.

DOI: 10.5281/zenodo.22463538

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