Self-Mapping Algorithm for Adaptive Quantum States

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel self-mapping algorithm for adaptive quantum states. Traditional approaches often rely on fixed parameter settings, limiting the algorithm's effectiveness. This work proposes a dynamic parameter adjustment mechanism that allows for continuous optimization of quantum states, leading to enhanced quantum entanglement and information transfer efficiency. We detail the algorithm's core mechanism, including a feedback loop that monitors and adjusts key parameters, ultimately achieving improved quantum fidelity and control. The development of this self-mapping algorithm offers a significant step forward in harnessing the potential of quantum systems.

DOI: 10.5281/zenodo.22198286

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