CaixaBank has applied a hybrid computing framework — which combines quantum computing and conventional computing in different phases of the calculation process — to classify credit risk profiles.
To do this, the bank used a public data set corresponding to 1,000 artificial users, with a similar profile to existing customers, but with information configured specifically for the test.
Preliminary investigation reveals that a combined application of hybrid algorithms to risk analysis calculations can reach the same conclusions as the classical method in much less time. (Finextra)
