The quantum processor is "called" as an accelerator for specific, difficult sub-tasks. Getting Started
Enter the cloud.
Once logical qubits (error-corrected qubits) become available via the cloud, the training of massive, complex QML models will become feasible. This will enable the implementation of algorithms like the Harrow-Hassidim-Lloyd (HHL) algorithm, which promises exponential speedups for linear algebra—the mathematical bedrock of all machine learning. cloud based quantum machine learning services
The classical CPU receives the measurement, calculates the loss function (error), and updates the quantum gate parameters using a classical optimizer (like Adam or SPSA). This loop repeats until the model converges. The quantum processor is "called" as an accelerator