Quantum AI: How Artificial Intelligence Meets Quantum Power (2026) Quantum AI: How Artificial Intelligence Meets Quantum Power (2026) Quantum AI in 2026 fuses artificial intelligence with quantum computing through quantum machine learning (QML) , variational algorithms like QAOA and VQE , and hybrid quantum-classical workflows. Practically, teams use quantum circuits as trainable feature maps or kernels while classical optimizers tune parameters end-to-end to target optimization, chemistry, and anomaly detection tasks where classical baselines struggle. For the hardware fundamentals and theory background, see our guides on quantum theory and how quantum computers work (linked below). 1) What Quantum AI actually is Think of a quantum circuit as a learnable model: we encode data into qubits, execute a shallow ansatz, measure expectation values, and pass them to a classical loss. The quantum step is not...