Build, test and run quantum-classical algorithms with Amazon Braket
ORAL
Abstract
Amazon Braket is a fully managed service that enables users to get started with quantum computing. With Braket, users can learn how to program quantum computers, explore potential applications, and design quantum-classical algorithms. Braket provides a Python SDK which can be used to develop on a local computer or in Amazon Braket’s fully managed notebook environment. With the SDK users can build quantum programs, test them on local or AWS-managed quantum circuit simulators, and eventually run them on Amazon Braket using physical quantum processing units (QPUs) from hardware providers.
In this talk, we describe how Amazon Braket Hybrid Jobs make the execution of hybrid quantum-classical workloads easier, faster, and more predictable. Hybrid Jobs provide better performance than running hybrid algorithms from a local environment by leveraging parametric compilation and circuit caching. Moreover, a Hybrid Job has priority access to the selected QPU during the entire time that it is running. This ultimately leads to better results by reducing the detrimental effects of slowly-changing device characteristics on algorithm performance.
In this talk, we describe how Amazon Braket Hybrid Jobs make the execution of hybrid quantum-classical workloads easier, faster, and more predictable. Hybrid Jobs provide better performance than running hybrid algorithms from a local environment by leveraging parametric compilation and circuit caching. Moreover, a Hybrid Job has priority access to the selected QPU during the entire time that it is running. This ultimately leads to better results by reducing the detrimental effects of slowly-changing device characteristics on algorithm performance.
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Presenters
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Jean-Christophe Jaskula
AWS
Authors
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Jean-Christophe Jaskula
AWS