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    Article

    Quantum machine learning for support vector machine classification

    Quantum machine learning aims to execute machine learning algorithms in quantum computers by utilizing powerful laws like superposition and entanglement for solving problems more efficiently. Support vector ma...

    S. S. Kavitha, Narasimha Kaulgud in Evolutionary Intelligence (2024)

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    Quantum K-means clustering method for detecting heart disease using quantum circuit approach

    The development of noisy intermediate- scale quantum computers is expected to signify the potential advantages of quantum computing over classical computing. This paper focuses on quantum paradigm usage to spe...

    S S Kavitha, Narasimha Kaulgud in Soft Computing (2023)

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    Chapter and Conference Paper

    High-Performance Digital Logic Circuit Realization Using Differential Cascode Voltage Switch Logic (DCVSL)

    Most of dual-rail CMOS circuits are loosely based around differential cascade voltage logic switch. DCVSL provides dual-rail logic gates that have latching characteristics built into circuits itself. In CVSL l...

    S. S. Kavitha, Narasimha Kaulgud in Evolutionary Computing and Mobile Sustainable Networks (2021)