Two classification algorithms that use the quantum state space to produce feature maps are demonstrated on a superconducting processor, enabling the solution of problems when the feature space is large and the kernel functions are computationally expensive to estimate.
- Vojtěch Havlíček
- Antonio D. Córcoles
- Jay M. Gambetta
