1 citations · 1 across the 3 of their papers we have counts for
5 papers
Context-Aware Error Mitigation Orchestration for Hybrid Quantum Reinforcement Learning on NISQ Systems
Bisma Majid, Shabir Ahmed Sofi, Mir Mohammad Yousuf
Quantum Reinforcement Learning (QRL) integrates reinforcement learning with parameterized quantum circuits and is a promising approach to combinatorial optimization. On Noisy Inter…
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…
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…
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…
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…