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Noise-Awareness in Quantum Software Testing: An Empirical Landscape Analysis

Mir Mohammad Yousuf, Shabir Ahmad Sofi, Bisma Majid · 2026 · arXiv

DOI: 10.48550/arXiv.2610.25233 · open-access PDF

Chinese

噪音中等尺寸量子(NISQ)硬件已经将量子计算转化为一个实用的实验平台,同时引入与硬件噪音,失一致性和概率执行相关的根本挑战。尽管量子软件测试(QST)迅速成为一个活跃的研究领域,但目前尚不清楚现有的测试方法在多大程度上与噪音和硬件限制的执行环境明确相关。

Machine translation (Meta M2M100); the English original follows.

Abstract

Noisy Intermediate-Scale Quantum (NISQ) hardware has transformed quantum computing into a practical experimental platform while introducing fundamental challenges associated with hardware noise, decoherence, and probabilistic execution. Although quantum software testing (QST) has rapidly emerged as an active research area, it remains unclear to what extent existing testing methodologies explicitly engage with noisy and hardware-constrained execution environments. This paper presents a systematic empirical landscape analysis of noise-awareness in QST research through a deterministic, taxonomy-g

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