WEBINAR ON QUANTUM MACHINE LEARNING - AN INSIGHT, KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

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UG Courses

Hybrid Event
WEBINAR ON QUANTUM MACHINE LEARNING - AN INSIGHT
Association Activity Dept. Level
DATE
Feb 11, 2023
TIME
07:00 PM to 07:00 PM
DEPARTMENT
AD
TOTAL PARTICIPATES
40
WEBINAR ON QUANTUM MACHINE LEARNING - AN INSIGHT WEBINAR ON QUANTUM MACHINE LEARNING - AN INSIGHT
Outcome
Summary
The  SPARK Association, Department of Artificial Intelligence and Data Science conduct the  Webinar on “Quantum Machine Learning – an Insight” on 11.02.2023 through Online. Mr.Santhosh Kumar President Association Sparks welcome the gathering. Dr.A.C.Sumathi felicitate the gathering the importance of Quantum Machine Learning and its frameworks. Ms.Surekha Secretary introduce about  the chief guest Mr.Karthiganesh Durai , Co-Founder, Quantum Computing, India. The chief guest gave an insight on Quantum Machine Learning and its tools. He discussed on the flow mechanism from quantum computing to machine learning. The main goal of Quantum Machine Learning is to speed things up by applying what we know from quantum computing to machine learning. The theory of Quantum Machine Learning takes elements from classical Machine Learning theory, and views quantum computing from that lens. He also focus on the various applications Quantum computing. Optimization, cryptography, quantum simulation, and machine learning are among applications that might benefit from NISQ quantum computing. The main outcome of this webinar on Quantum Machine Learning is to enrich the knowledge of the students on Quantum Machine Learning. In this technology , the chief guest deliver the importance of Quantum Machine Learning and discuss on the benefits and applications of quantum technology. Ms.Swedha Executive Member of SPARKS deliver the vote of thanks. The outcome of this webinar the participants can come to know about the concept of quantum computing, how it converted to quantum machine learning, benefits of quantum machine learning and its application. He also focus on some the quantum machine learning algorithms. The participant can enrich their knowledge on quantum machine learning.

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