Advanced Research in Quantum Algorithms and Applications
Department of Computer Science and Engineering
Exploring the intersection of quantum computing and machine learning to develop novel algorithms and applications.
Quantum neural networks leverage quantum superposition and entanglement to process information in ways impossible for classical neural networks.
VQCs use parameterized quantum circuits to solve optimization problems, combining quantum computing with classical optimization techniques.
Quantum kernel methods exploit quantum feature spaces to perform machine learning tasks with potential quantum advantage.