MQPA: Noise-Resilient Quantum Computing Through Modular Parallel Architectures

We propose and demonstrate a modular parallel quantum computing architecture that achieves superior noise resilience compared to traditional monolithic designs. Through comprehensive simulations of Grover's search algorithm, we show that parallel architectures with independent subsystems maintain up to 51% higher success rates under realistic noise conditions (noise level 0.15). At moderate noise levels relevant to current NISQ devices (0.05-0.10), the parallel architecture demonstrates 20-46% performance advantages with high statistical significance (p < 10-16). Our results suggest that distributed quantum architectures may provide a practical path toward fault-tolerant quantum computing by isolating noise propagation across subsystems, despite requiring increased circuit depth. We validate these findings across multiple configurations, target states, and independent experimental runs, establishing the robustness and reproducibility of the observed advantages.