Title: Adaptive Quantum State Mapping

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum information processing offers unprecedented computational power, but current limitations stem from the inherent complexity of manipulating and maintaining quantum states. This research explores a novel approach to quantum state manipulation – Adaptive Quantum State Mapping – designed to address these limitations through dynamic state transformations. This method leverages the inherent dynamism of quantum systems to optimize information processing by intelligently adjusting the state of a quantum system in response to changes in its internal dynamics. The core mechanism centers around a self-adaptive mapping algorithm that continuously monitors and modifies the quantum state based on feedback loops, minimizing the energy required for state manipulation. This paper presents a detailed theoretical analysis and implementation of this algorithm, demonstrating its potential to significantly enhance the efficiency of quantum information processing.

DOI: 10.5281/zenodo.22153698

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