Paper Title
NOISE-AWARE QAOA COMPILATION FOR ROBUST MICROGRID SCHEDULING ON NEAR-TERM QUANTUM DEVICES

Abstract
Quantum optimization for energy systems is limited by noise and hardware constraints of near-term quantum devices. This work presents a noise-aware framework for microgrid scheduling using the Quantum Approximate Optimization Algorithm (QAOA). The scheduling problem is formulated as a Quadratic Unconstrained Binary Optimization (QUBO) model incorporating operational constraints and renewable uncertainty. A Noise-Aware Multi-Objective QAOA Compilation (NAMOQC) framework is proposed to improve execution under noisy conditions. Unlike conventional transpilation methods, the proposed approach integrates hardware noise characteristics into qubit mapping and routing decisions. Experimental results under realistic noise simulation show that NAMO-QC consistently improves approximation ratio and execution fidelity while reducing two-qubit gate usage. Across multiple problem sizes, the method achieves up to 25% improvement in fidelity compared to baseline strategies. These results demonstrate the effectiveness of noise-aware compilation in enhancing QAOA performance for practical energy scheduling applications. Keywords - Quantum Approximate Optimization Algorithm (QAOA), Noise-Aware Compilation, Microgrid Scheduling, Near- Term Quantum Computing, Hardware-Aware Optimization, Quantum Circuit Compilation