What is a Hybrid Job?

Amazon Braket Hybrid Jobs offers a way for you to run hybrid quantum-classical algorithms requiring both classical AWS resources and quantum processing units (QPUs). Hybrid Jobs is designed to spin up the requested classical resources, run your algorithm, and release the instances after completion so you only pay for what you use.

Hybrid Jobs is ideal for long-running, iterative algorithms that involve the use of both classical computing resources and quantum computing resources. With Hybrid Jobs, after submitting your algorithm to run, Braket will your algorithm in a scalable, containerized environment. Once the algorithm has completed, you can then retrieve the results.

Additionally, quantum tasks that are created from a hybrid job benefit from higher priority queueing to the target QPU device. This prioritization ensures that your quantum computations are processed and ran ahead of other tasks waiting in the queue. This is particularly advantageous for iterative hybrid algorithms, where the results of one quantum task depend on the outcomes of prior quantum tasks. Examples of such algorithms include the Quantum Approximate Optimization Algorithm (QAOA), variational quantum eigensolver, or quantum machine learning. You can also monitor your algorithm progress in near-real time, enabling you to keep track of costs, budget, or custom metrics such as training loss or expectation values.