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Mir Mohammad Yousuf

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#machine learning Preprint Oct 2026

Context-Aware Error Mitigation Orchestration for Hybrid Quantum Reinforcement Learning on NISQ Systems

Quantum Reinforcement Learning (QRL) integrates reinforcement learning with parameterized quantum circuits and is a promising approach to combinatorial optimization. On Noisy Intermediate-Scale Quantum (NISQ) devices, however, decoherence, gate imperfections, and measurement errors reduce policy quality and make learni...

Bisma Majid, Shabir Ahmed Sofi, Mir Mohammad Yousuf · 0 citations
#artificial intelligence Preprint Sep 2026

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

Adaptive Policy-Guided Error Mitigation (APGEM) is introduced, a controller that selects among Zero-Noise Extrapolation (ZNE), Probabilistic Error Cancellation (PEC), Clifford Data Regression (CDR), and Readout Error Mitigation online, driven by a fidelity, entropy, and cost aware utility function and an epsilon-greedy...

S. Sofi, Bisma Majid, Mir Mohammad Yousuf · 1 citation

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