Quantum Algorithms & Optimization
Circuit design, complexity and error correction, and the combinatorial problems they are pointed at.
Technical Curriculum & Active Tracks
Variational Quantum Algorithms
VQE, QAOA, and parameterized quantum circuits for optimization and chemistry.
Quantum Search & Transform
Grover's amplitude amplification and Quantum Fourier Transform (QFT) implementations.
Quantum Machine Learning
Quantum kernels, variational classifiers, and hybrid classical-quantum models.
Core Stack & Tooling
Recommended Foundations
- Linear algebra & matrix mechanics
- Python fluency
- Basic complexity theory
Who leads this domain
Faculty Mentor
Dr. Gayathri M
Associate Professor in the Department of Computing Technologies, with a PhD from SRM Institute of Science and Technology and sixteen years in teaching and research. She works on biometric security, visual cryptography, and medical image analysis, with quantum computing and the Internet of Things among her published interests.
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 Algorithms & Optimization?
Select Quantum Algorithms & Optimization as your primary preference on the Stage 1 application. The Stage 2 written task round problems will be drawn from this domain curriculum.
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