Description: AI // MACHINE LEARNING // QUANTUM
Research into quantum mechanics needed to engineer quantum systems for computation, communication, and sensing. Topics included: motivation for quantum engineering, qubits and quantum gates, rules of quantum mechanics, mathematical background, quantum electrical circuits and other physical quantum systems, harmonic and anharmonic oscillators, measurement, the Schrödinger equation, noise, entanglement, benchmarking, quantum communication, and quantum algorithms.
Analysis, modeling and verification in continuous and discrete dynamics of embedded cyber-physical systems (CPS). Design and implementation of CPS including sensors and actuators, embedded processors, Internet of Things (IoT), cloud IoT, multitasking, and scheduling.
Concentration on the fundamental aspects of Evolutionary Computation including history, theory and application – with an emphasis on search & optimization. Focused study on the many aspects of evolutionary algorithms (EAs), in particular GA, GP, ES, and will concentrate on the basic concepts of representation, operators and overall control.