Quantum K-Nearest Neighbors (QKNN) for Simple Classification
This capstone explores QKNN for classification, leveraging quantum computing to enhance distance-based learning. Participants will implement and analyze QKNN using quantum frameworks and real-world datasets.
This Course Includes:
Access on mobile & TV
Free One Year Access To Live Courses*
Certificate of completion
Course Curriculum & Resources
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Classical vs. Quantum KNN
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Quantum Distance Metrics
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Designing QKNN Circuits
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Running QKNN on Simulators
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Accuracy and Computational Analysis
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Case Study on Real-World Data
Student Ratings & Reviews
Instructor Info
- Instructor Code: ABM07
- Specialty: Cloud, Data Science & GenAI Expert
- Experience: Worked with Microsoft, JO Morgan Chase, Deloitte Consulting in the USA
- Education: Holds an MS in Data Analytics Engineering from George Mason University, USA, and an MTech in Biomedical Engineering from IIT Bombay.
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