Quantum Machine Learning. (3-0) 3 Credit Hours

Catalog description

Prerequisite: CS 3343 or consent of instructor. This course covers quantum computing, qubits, and important illustrative examples of quantum algorithms such as Grover search and Variational Quantum algorithms. Data representations in quantum computers, such as amplitude encoding, time-evolution encoding, and Hamiltonian encoding. Variational Quantum Classifiers and quantum neural networks. Quantum kernels and kernel-based training. Ising models and quantum annealing. Fault-tolerance in quantum machine learning. This course has Differential Tuition. Course Fee: GA02 $90; IUCA $45.