Quantum Machine Learning
Learning algorithms built on quantum circuits, and the software that has to exist for anyone else to use them.
Technical Curriculum & Active Tracks
Flagship Event Engineering
Managing Quantathon problem tracks, speaker logistics, and judging pipelines.
Technical Communication & Design
Crafting visual scientific explanations, quantum dispatches, and brand assets.
Industry & Academic Outreach
Fostering partnerships with compute providers, national labs, and student groups.
Core Stack & Tooling
Recommended Foundations
- Curiosity for quantum concepts
- Strong communication or design fluency
- Collaborative mindset
Who leads this domain
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.
Interested in specializing in Quantum Machine Learning?
Select Quantum Machine Learning as your primary preference on the Stage 1 application. The Stage 2 written task round problems will be drawn from this domain curriculum.
Apply to this domain