Optimization of Qubit Control Protocols Using Advanced Applied Mathematical Techniques for Enhanced Quantum Computing Performance

Raphael Ehikhuemhen Asibor and Victor Osemudiamhen Asibor
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Raphael Ehikhuemhen Asibor: Directorate of Information & Communication Technology, Computer Science Department, Igbinedion University, Okada. Nigeria
Victor Osemudiamhen Asibor: Department of Physics, University of Benin Teaching Hospital, Benin City, Nigeria

International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 3, 214-222

Abstract: This study optimizes qubit control protocols using optimal control theory, machine learning, and stochastic modeling to enhance quantum computing performance. Quantum computing represents a transformative leap in computational power, with qubits serving as the fundamental building blocks of quantum information processing. However, the efficient control and manipulation of qubits remain significant challenges due to decoherence, noise, and imperfect control pulses. This study focuses on optimizing qubit control protocols using advanced applied mathematical techniques, including optimal control theory, machine learning, and stochastic modeling, to enhance quantum computing performance. By leveraging these techniques, we develop robust control strategies that minimize errors, improve gate fidelity, and extend coherence times. Our methodology integrates numerical simulations with experimental validation, demonstrating significant improvements in qubit control accuracy and reliability. The results highlight the potential of these optimized protocols to enable scalable and fault-tolerant quantum computing. This work contributes to the ongoing efforts to realize practical quantum technologies, offering insights into the interplay between mathematical optimization and quantum system dynamics.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:bjf:journl:v:10:y:2025:i:3:p:214-222

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