Hybrid and Adaptive Optimization for Entanglement Preservation under Composite Noise in Quantum Systems
DOI:
https://doi.org/10.70162/mijarcse/2023/v9/i2/v9i203Keywords:
Quantum Computing, Hybrid Error Mitigation, Quantum Error Correction (QEC), Dynamical Decoupling (DD), Feedback Control, Fidelity, Entanglement Lifetime, NISQ Devices, Noise Robustness, Quantum System Optimization, Adaptive Control, Quantum Coherence, Fault-Tolerant Quantum Computation.Abstract
As quantum computing systems progress into the noisy intermediate-scale quantum (NISQ) era, ensuring reliable computation in the presence of various noise sources remains a critical challenge. This paper presents a novel Hybrid-Adaptive error mitigation framework that synergistically integrates Quantum Error Correction (QEC), Dynamical Decoupling (DD), and Feedback Control techniques to enhance system fidelity, robustness, and entanglement lifetime under diverse noise conditions. Through extensive simulations and analytical modeling, we demonstrate that the proposed method outperforms individual strategies across key performance metrics. Specifically, the Hybrid-Adaptive model sustains higher fidelity levels, shows prolonged entanglement lifetimes up to 23 steps, and maintains low standard deviation in performance across dephasing, thermal, and amplitude noise types. Furthermore, it offers superior fidelity gains per unit resource cost, highlighting its efficiency and scalability. Our results underscore the potential of hybrid architectures in building noise-resilient quantum systems and pave the way for future explorations involving learning-based and real-time adaptive quantum error mitigation techniques.
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