Quantum Signal
Quantum signal processing (QSP) leverages quantum mechanics to enhance the precision and robustness of signal processing tasks, primarily focusing on parameter estimation and function approximation. Current research emphasizes developing QSP algorithms, often based on parameterized quantum circuits (PQCs) and quantum signal processing circuits, that are resilient to noise and decoherence, achieving accuracy beyond classical limits. These advancements have demonstrably improved performance in applications such as quantum metrology, quantum machine learning (including image classification), and quantum key distribution, showcasing the potential of QSP to revolutionize various fields.
Papers
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