Running Quantum-Classical Hybrid Algorithms with Amazon Braket (Part 1)

To efficiently run hybrid algorithms, a core methodology of the NISQ era, Amazon Braket offers a Hybrid Jobs feature that combines quantum computing and classical computing resources.

This service helps users run iterative algorithms in an automated way by linking Amazon EC2 instances with a QPU (Quantum Processing Unit) or a simulator, without needing to set up separate infrastructure. It has an efficient structure where you pay only for the resources you use.

There are two main ways to run Hybrid Jobs:

• Algorithm script method (AwsQuantumJob.create()): This runs by specifying a Python script or Jupyter notebook file as the source. It can also be submitted through the AWS console UI, making it suitable for team sharing or production environments.
• @hybrid_job decorator method: This runs immediately by adding a decorator to a local Python function, and is useful for quickly prototyping and experimenting without needing to manage separate files.

Generally, the recommended workflow is to quickly validate logic using the decorator method during the development stage, then switch to the script method for validated algorithms to run and operate them repeatedly.