Cloud-based QML is currently a research tool, not a production engine. However, the infrastructure is being laid. Just as cloud computing democratized GPUs for AI in 2012, cloud quantum services are democratizing qubits for AI in 2024.

For the past decade, two revolutionary technologies have evolved on parallel tracks: Quantum Computing and Machine Learning (ML). Quantum promised exponential speedups for specific math problems; Machine Learning promised to find patterns in chaos. The problem? Quantum computers are not laptops. They require temperatures colder than deep space and are prone to errors from the slightest vibration.

Enter the cloud.