Quantum Error Correction and Adaptive Quantum Algorithm Design

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores a novel approach to quantum algorithm design, integrating quantum error correction (QEC) principles with adaptive algorithm strategies. The core argument is that traditional approaches, which treat QEC and algorithm design as separate concerns, are suboptimal. We propose a framework where the inherent error correction capabilities of QEC codes are leveraged in conjunction with an adaptive feedback mechanism within the algorithm itself. This allows for dynamic adjustment of algorithm parameters, specifically aimed at mitigating the impact of quantum noise and inherent uncertainties in the algorithm's execution. The resulting system aims to maximize the probability of successful computation. We outline the theoretical foundations, discuss key algorithmic considerations, and present a conceptual design for this combined approach. This research contributes to a more robust and efficient paradigm for quantum computation, addressing a critical limitation in the field – the susceptibility of quantum algorithms to noise. The theoretical framework provided offers a pathway towards building practical quantum algorithms capable of reliably tackling complex problems.

DOI: 10.5281/zenodo.22590250

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