diff --git a/doc/examples-hybrid-jobs.rst b/doc/examples-hybrid-jobs.rst new file mode 100644 index 000000000..c1b6c6a9d --- /dev/null +++ b/doc/examples-hybrid-jobs.rst @@ -0,0 +1,33 @@ +################################ +Amazon Braket Hybrid Jobs +################################ + +Learn more about hybrid jobs on Amazon Braket. + +.. toctree:: + :maxdepth: 2 + +************************** +`Getting Started `_ +************************** + +This tutorial shows how to run your first Amazon Braket Hybrid Job. + +************************** +`Hyperparameter Tuning `_ +************************** + +This notebook demonstrates a typical quantum machine learning workflow, including uploading data, monitoring training, and tuning hyperparameters. + +************************** +`Using Pennylane with Braket Jobs `_ +************************** + +In this tutorial, we use PennyLane within Amazon Braket Hybrid Jobs to run the Quantum Approximate Optimization Algorithm (QAOA) on a Max-Cut problem. + +************************** +`Bring your own container `_ +************************** + +Amazon Braket has pre-configured containers for executing Amazon Braket Hybrid Jobs, which are sufficient for many use cases involving the Braket SDK and PennyLane. +However, if we want to use custom packages outside the scope of pre-configured containers, we have the ability to supply a custom-built container. In this tutorial, we show how to use Braket Hybrid Jobs to train a quantum machine learning model using BYOC (Bring Your Own Container). diff --git a/doc/examples.rst b/doc/examples.rst index e0126c2f1..cc65a5a8e 100644 --- a/doc/examples.rst +++ b/doc/examples.rst @@ -14,5 +14,6 @@ https://github.com/aws/amazon-braket-examples. examples-hybrid-quantum.rst examples-ml-pennylane.rst examples-quantum-annealing-dwave.rst + examples-hybrid-jobs.rst \ No newline at end of file