In this folder you can find the D-Wave exercises for the D-Wave challenges pilot
In the folder sagemaker-qboost you can find my example on how to run the QBoost algorithm on AWS SageMaker, in order to be a fully managed service, and therefore production ready. In this particular example you will perform only the training procedure on the D-Wave machine and then transport back the result in the classical world to be used for inference in a classical CPU. You won't use QPU time for inference. The tutorial is inspired by the work of D-Wave on the implementation of the QBoost algorithm, and by the official tutorial of AWS SageMaker Bring Your Own Algorithm.