most citedBug Classification in Quantum Software: A Rule-Based Framework and Its Evaluation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.SE2026

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

Mir Mohammad Yousuf, Shabir Ahmad Sofi, Bisma Majid

Noisy Intermediate-Scale Quantum (NISQ) hardware has transformed quantum computing into a practical experimental platform while introducing fundamental challenges associated with h…

cs.LG2026

APGEM: Adaptive Policy-Guided Error Mitigation for Quantum Reinforcement Learning on a Real-World CVRP Case Study

Shabir Ahmad Sofi, Bisma Majid, Mir Mohammad Yousuf

Quantum Reinforcement Learning (QRL) represents policies as variational quantum circuits (VQCs), making it attractive for combinatorial optimization such as the Capacitated Vehicle…

cs.CV2026

AppleScab-LT: A Longitudinal Real-Field Apple Scab Dataset for Temporal Disease Progression Analysis

Aamir Hilal, Shabir Ahmad Sofi, Neeraj Goel

The development of reliable plant disease monitoring systems is constrained by limited longitudinal datasets capturing disease progression under natural field conditions. Although…

cs.SE2026

Cross-Ecosystem Bug Classification in Quantum Software

Mir Mohammad Yousuf, Shabir Ahmad Sofi, Bisma Majid

Quantum software engineering faces unique challenges due to the interaction of classical and quantum components, which produce complex and often poorly understood bug patterns. Cha…

cs.SE2026

Characterizing Bugs and Quality Attributes in Quantum Software: A Large-Scale Empirical Study

Mir Mohammad Yousuf, Shabir Ahmad Sofi

Quantum Software Engineering (QSE) is essential for ensuring the reliability and maintainability of hybrid quantum-classical systems, yet empirical evidence on how bugs emerge and…

cs.SE2025★ 1 cited

Bug Classification in Quantum Software: A Rule-Based Framework and Its Evaluation

Mir Mohammad Yousuf, Shabir Ahmad Sofi

Accurate classification of software bugs is essential for improving software quality. This paper presents a rule-based automated framework for classifying issues in quantum softwar…