Quantum Information Science & Engineering
Syed Muhammad Abuzar Rizvi
Ph.D. Candidate · Graduate Research Associate
CQILAB, Department of Electronics and Information Convergence Engineering, Kyung Hee University, South Korea
Quantum Computing | Quantum Machine Learning | Hybrid Quantum–Classical Algorithms | Quantum Communication
I am a Ph.D. candidate at Kyung Hee University, where I work as a Graduate Research Associate in CQILAB. My research develops machine-learning-based methods for quantum state classification and error mitigation on noisy intermediate-scale quantum (NISQ) devices, variational quantum algorithms for optimization in next-generation intelligent networks, reinforcement-learning-based quantum control, and protocols for reliable, privacy-preserving quantum communication.
Before my doctoral studies I received a B.Sc. in Electrical Engineering from NUST and worked as a DSP Engineer at NUST’s Microwave Engineering Research Lab, building FPGA-based real-time signal-processing systems.
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Reinforcement-learning-based quantum control and pulse-level gate design, privacy-preserving quantum communication, and hybrid quantum–classical optimization and learning.
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