Quantum Metrology
Quantum metrology aims to leverage quantum phenomena for enhanced precision in measurements, surpassing classical limits. Current research focuses on developing and improving quantum algorithms for parameter estimation, including variational methods and those based on quantum signal processing, often incorporating machine learning techniques for optimization and Bayesian inference to handle noise and limited resources. These advancements hold significant promise for improving the accuracy and efficiency of measurements across various scientific fields, from materials science to fundamental physics, by enabling more precise characterization of physical systems.
Papers
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