Quantum Machine Learning

Quantum machine learning explores hybrid quantum-classical algorithms and parameterized quantum circuits for tasks like classification and optimization. Work is experimental and focuses on variational circuits, encoding classical data into quantum states, and analyzing potential quantum advantage.