Introduction Convex optimization is the engine driving modern advancements in machine learning and quantum computing. In the quantum realm, tools like PennyLane, designed for hybrid quantum-classical computations, have emerged as essential for implementing variational quantum circuits (VQCs) and other cutting-edge algorithms. For those eager to bridge the gap between quantum mechanics and optimization theory, mastering … Continue reading Quantum Convex Optimization with PennyLane