Introduction: What Are Variational Quantum Circuits (VQCs)? Variational Quantum Circuits (VQCs) represent a cutting-edge approach to quantum machine learning (QML), combining quantum computing’s power with classical optimization techniques. These circuits utilize parameterized quantum gates, which can be optimized using classical algorithms to solve complex problems, ranging from optimization and chemistry to machine learning. As of … Continue reading Variational Quantum Circuits (VQCs): Machine Learning Convexity Optimization with PyTorch