Introduction to Quantum Machine Learning
A Quantum Machine Learning course explores the intersection of quantum computing and machine learning. It introduces quantum principles like superposition and entanglement and their application in enhancing ML algorithms. The course typically covers quantum algorithms, variational circuits, and hybrid models. Students gain hands-on experience with frameworks like Qiskit or PennyLane. Ideal for those with a background in ML or quantum physics.














