Dynamic Adaptive Quantum State Encoding Strategy

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum computing holds immense potential for breakthroughs across numerous fields, yet realizing this potential requires significant advancements in quantum algorithm design and hardware implementation. A crucial aspect of this journey is the efficient and accurate encoding of quantum states, which is currently limited by the capabilities of traditional classical encoding methods. This paper introduces a novel dynamic adaptive quantum state encoding strategy aimed at addressing these limitations. The proposed strategy leverages continuous monitoring of the quantum state's dynamics to dynamically adjust encoding parameters, optimizing for both computational efficiency and fidelity. We present a framework based on a feedback loop that iteratively refines the encoding process based on real-time state measurements. The core mechanism centers around adjusting the parameters of the quantum state representation to minimize error correction requirements, ultimately boosting quantum computational performance. The theoretical framework demonstrates improved performance compared to static encoding methods in a benchmark environment.

DOI: 10.5281/zenodo.22321174

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