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Dr. Ronagh’s research interests involve algorithmic aspects of quantum computation. He explores novel applications of quantum computation by designing and analyzing quantum algorithms to solve computational challenges where classical state-of-the-art methods are costly, such as in machine learning and high-performance computing. The symbiotic relationship between classical and quantum computing is essential for unlocking the full potential of quantum computers. Therefore, Dr. Ronagh is particularly interested in using optimization and control theory to enhance hybrid quantum-classical schemes that are employed in quantum control, quantum error correction, and fault-tolerant quantum computation.
Institute Quantum Computing • Waterloo, Canada
Conducts research in quantum computation and machine learning.
Perimeter Institute Quantum Intelligence Lab • Waterloo, Canada
Leads scientific research on the intersection of quantum intelligence and computation.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.