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IEEE Future Networks Artificial Intelligence and Machine Learning (AIML)
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About this event
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IEEE Future Networks Artificial Intelligence and Machine Learning
Date: August 14, 2025
Time: 12:00 PM to 02:00 PM EDT
Location: Virtual
Quantum Machine Learning (QML)
Panel: Baw Chng of BAWMAN LLC; Gokhale Jayanthi of eMerging Open Tech Foundation; Prakash Ramachandran of eMerging Open Tech Foundation; Chintan Oza of Founder Institute
This panel webinar on Quantum Machine Learning (QML) will discuss classical machine learning approaches and examine how quantum machine learning can significantly reduce computation time to solve certain NP-hard problems. The differences between classical and quantum machine learning pipelines — including output states, inputs, learning models, and encoding/decoding methods — will be explored, along with the techniques to analyze and interpret the results. The expert panel will present work covering classical models and outline the distinctions from their QML counterparts. They will also discuss utilities, tools, code development, APIs, Bra-ket notation, matrix representations, etc. relevant to QML.
Register here:
https://events.vtools.ieee.org/m/495150
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