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SQCC

Quantum Machine Learning & Software

Learning algorithms built on quantum circuits and hybrid models.

Who leads this

  • Faculty mentor

    Dr. R. Thilagavathy

    Associate Professor in the Department of Computing Technologies, with a PhD from Sathyabama Institute of Science and Technology and twenty-one years of academic experience. Her published specialisations run across quantum machine learning, quantum communication, and quantum cryptography, alongside data mining and natural language processing.

  • Faculty mentor

    Dr. Nalini S

    Assistant Professor in the Department of Computing Technologies, with a PhD in Information and Communication Engineering from Anna University and seventeen years of experience. Her work centres on machine learning, quantum computing, and quantum machine learning.

Work from this domain

Published projects and research from Quantum Machine Learning & Software will be listed here.

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