Abstract: A quantum computing monitoring system may receive a request from user describing an algorithm to be executed using classical and quantum computing resources and a metric to be monitored associated with execution of the algorithm at the quantum computing resources. In execution, the quantum computing monitoring system may cause measurements to be obtained from the quantum computing resources at individual steps of the execution of the algorithm at the quantum computing resources, and the metric to be determined based on the obtained measurements. The quantum computing monitoring system may evaluate the metric with respect to a threshold, and provide an alert to the user responsive to determining that the metric fails to satisfy the threshold. The quantum computing monitoring system may further perform an operation to modify the execution of the algorithm at the quantum computing resources as needed.

Abstract: An algorithm execution management system of a provider network may receive a request from a user for executing an algorithm using different types of computing resources, including classical computing resources and quantum computing resources. The request may indicate a container that includes the algorithm code and dependencies such as libraries for executing the algorithm. The algorithm execution management system may first determine that the quantum computing resources are available to execute the algorithm, and then cause the classical computing resources to be provisioned. The algorithm execution management system may cause at least one portion of the algorithm to be executed at the classical computing resources using the container indicated by the user, and at least another portion of the algorithm to be executed at the quantum computing resources. The quantum task of the algorithm may be provided a priority during execution of the algorithm for using the quantum computing resources.

Abstract: A quantum computing monitoring system may receive a request from user describing an algorithm to be executed using classical and quantum computing resources and a metric to be monitored associated with execution of the algorithm at the quantum computing resources. In execution, the quantum computing monitoring system may cause measurements to be obtained from the quantum computing resources at individual steps of the execution of the algorithm at the quantum computing resources, and the metric to be determined based on the obtained measurements. The quantum computing monitoring system may evaluate the metric with respect to a threshold, and provide an alert to the user responsive to determining that the metric fails to satisfy the threshold. The quantum computing monitoring system may further perform an operation to modify the execution of the algorithm at the quantum computing resources as needed.

Abstract: A quantum computing monitoring system may receive a request from user describing an algorithm to be executed using classical and quantum computing resources and a metric to be monitored associated with execution of the algorithm at the quantum computing resources. In execution, the quantum computing monitoring system may cause measurements to be obtained from the quantum computing resources at individual steps of the execution of the algorithm at the quantum computing resources, and the metric to be determined based on the obtained measurements. The quantum computing monitoring system may evaluate the metric with respect to a threshold, and provide an alert to the user responsive to determining that the metric fails to satisfy the threshold. The quantum computing monitoring system may further perform an operation to modify the execution of the algorithm at the quantum computing resources as needed.

Abstract: A quantum computing monitoring system may receive a request from user describing an algorithm to be executed using classical and quantum computing resources and a metric to be monitored associated with execution of the algorithm at the quantum computing resources. In execution, the quantum computing monitoring system may cause measurements to be obtained from the quantum computing resources at individual steps of the execution of the algorithm at the quantum computing resources, and the metric to be determined based on the obtained measurements. The quantum computing monitoring system may evaluate the metric with respect to a threshold, and provide an alert to the user responsive to determining that the metric fails to satisfy the threshold. The quantum computing monitoring system may further perform an operation to modify the execution of the algorithm at the quantum computing resources as needed.

Abstract: An algorithm execution management system of a provider network may receive a request from a user for executing an algorithm using different types of computing resources, including classical computing resources and quantum computing resources. The request may indicate a container that includes the algorithm code and dependencies such as libraries for executing the algorithm. The algorithm execution management system may first determine that the quantum computing resources are available to execute the algorithm, and then cause the classical computing resources to be provisioned. The algorithm execution management system may cause at least one portion of the algorithm to be executed at the classical computing resources using the container indicated by the user, and at least another portion of the algorithm to be executed at the quantum computing resources. The quantum task of the algorithm may be provided a priority during execution of the algorithm for using the quantum computing resources.

Abstract: Techniques for enabling entities to provide a system with data representing specific relationships of various endpoint devices for the purpose of responding to user inputs are described. A system may include an application program interface (API) that enables an entity to provide the system with data describing related endpoint devices, as well as data representing terminology that a user may use to refer to a specific endpoint device. After the system receives such data, when a user associates an endpoint device with their user profile, the system can associate that endpoint device with various other endpoint devices based on data previously received from an entity. When the system receives a user input, the system may traverse endpoint device relationships, represented in a user profile, to determine an endpoint device that should be invoked to respond to the user input.