Amazon Technologies, Inc.

International Business Machines Corporation

Eric M Kessler

Christian Bruun Madsen

Milan Krneta

Liyang Song

Jeffrey Paul Heckey

Saravanakumar Shanmugam Sakthivadivel

Ravi Kiran Chilakapati

Derek Bolt

Jon-Mychael Allen Best

Christopher A Buchholz

Zhihuai Zhu

Michael D Pratt

Elizabeth Bourgoin

A quantum computing service includes a quality of service (QOS) and out-of-band prioritization module. The QoS and out-of-band prioritization module enforces QoS guarantees for quantum tasks and quantum jobs submitted to the quantum computing service while allowing for processing of the quantum jobs and quantum tasks based on QoS guarantees and not necessarily in an order in which the quantum jobs or quantum tasks are received. Also, the QoS and out-of-band prioritization module determines updated priorities out-of-band based on quantum resource usage information for previously executed quantum tasks such that submittal of pending quantum tasks is not delayed in while update priorities are being determined.

Quantum computing service with quality of service (QoS) enforcement via out-of-band prioritization of quantum tasks

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.

On-demand co-processing resources for quantum computing

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.

Quantum computing monitoring system

Data includes data with labels and data without labels. For data without labels a fuzzy rules system assigns pseudo labels. A computer processes the data with labels using a first cognitive neural network; processes the data with pseudo labels using a second cognitive neural network; and produces system outcomes by combining the results of the first and second cognitive neural networks. The computer obtains feedback on the system outcomes, and modifies parameters of the fuzzy rule system in response to the feedback.

Bayesian network based hybrid machine learning

Growing community of inventors

New Rochelle, NY, United States of America

Eric M Kessler