Quantum Information Physics: Coordinated Optimization of Quantum Sensors

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores the potential of coordinated optimization within a network of quantum sensors for enhanced sensing capabilities in quantum information physics. The core challenge lies in leveraging the inherent sensitivity of individual quantum sensors while mitigating noise and maximizing overall system performance. We propose a framework utilizing advanced optimization algorithms to achieve this coordination. The framework considers the interconnectedness of sensors, accounting for correlated noise and exploiting synergistic effects. Mathematical models are presented to formalize the optimization problem, including expressions for sensor measurement uncertainties, noise correlation matrices, and the objective functions. We detail a multi-objective optimization approach, balancing precision, sensitivity, and robustness. The theoretical framework lays the groundwork for future experimental implementations, aiming to significantly improve the accuracy and reliability of quantum sensing applications. Key aspects covered include sensor network design, noise characterization, optimization algorithm selection, and performance evaluation metrics.

DOI: 10.5281/zenodo.22339820

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