Quantum Application

Quantum applications leverage the unique properties of quantum computers to solve complex problems intractable for classical systems. Current research focuses on developing and benchmarking quantum algorithms for diverse tasks, including personalized learning, database searching (using Grover's algorithm), and protein design, often employing variational quantum algorithms (VQAs) and parameterized quantum circuits on near-term noisy devices. These efforts aim to demonstrate the practical advantages of quantum computing in various scientific domains and pave the way for real-world applications by addressing challenges like noise mitigation and efficient optimization strategies.