Ali Al-Bayaty

Ph.D. in Electrical and Computer Engineering

Passionate about teaching, developing innovative curricula, and conducting academic research on quantum computing and machine learning by bridging theoretical foundations in academia with practical applications in industry. My research focuses on (i) geometrically building cost-effective quantum gates, (ii) effectively enhancing the search circuitry of Grover’s algorithm, QAOA, and BHT-QAOA, and (iii) developing generic quantum libraries for lower quantum costs and efficient physical qubits routing for the restricted layouts of real quantum computers.

Interests: Quantum computing, multi-valued (Boolean) logic, machine learning, computer vision, robotics