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

German

Noisy Intermediate-Scale Quantum (NISQ) Hardware hat Quantenrechnung in eine praktische experimentelle Plattform verwandelt und gleichzeitig grundlegende Herausforderungen im Zusammenhang mit Hardware-Lärm, Decoherence und probabilistischer Ausführung eingeführt. Obwohl Quanten-Software-Tests (QST) schnell als aktives Forschungsgebiet aufgetaucht sind, bleibt unklar, inwieweit bestehende Testmethoden explizit mit lauten und hardwarebeschränkten Ausführungsumgebungen interagieren.

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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