Combining quantum and classical compute with Hybrid Jobs on Amazon Braket

Brendan Bouffler
Date : September 7, 2023
Categories : AI/ML ,AWS Batch ,AWS ParallelCluster ,Amazon NICE DCV ,Elastic Fabric Adapter ,Life Sciences
Tags : ai ml ,aws ,batch ,cpus ,dcv ,ec2 ,efa ,gpus ,hpc ,high performance computing ,hybrid jobs ,lustre ,mpi ,nccl ,parallel cluster ,schedulers ,storage ,amazon braket ,autoscaling ,aws batch ,bioinformatics ,braket ,cloud computing ,elastic ,elastic fabric adapter ,hpc instances ,infiniband ,job scheduling ,quantum computing ,scientific computing ,supercomputing ,technical computing ,tightly coupled ,virtualization ,vizualization ,techshorts

With Hybrid Jobs, you can run algorithms that use both classical and quantum compute resources. These hybrid quantum-classical algorithms can help you optimize the performance of the quantum devices currently available. These algorithms are designed to maximize the benefits and reduce the drawbacks of both types of computational systems and are generally used to find the ground state or global minimum of a particular system.

Jordan Sullivan, our Developer Advocate for Amazon Braket, stopped by Tech Shorts to explain this.

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