Accenture Global Solutions Limited

Accenture Global Services Gmbh

Carl Matthew Dukatz

Srinivas Yelisetty

Lascelles Forrester

Teresa Sheausan Tung

Colin Anil Puri

Sonali Parthasarathy

Kung-Chuan Hsu

Daniel Garrison

Shreyas Ramesh

Nicholas Akiona

Narendra Anand

Anuraag Chintalapally

Max Howard

Corey Hollenbeck

Michael Giba

Sanjay Tiwari

Scott Kurth

Mathangi Sandilya

Mayur Kolhe

Shantha Maheswari

Gaurav Khanduri

Michael Evan Wendt

Kirby James Linvill

Marc Carrel-Billiard

Anshul Kapoor

Nathan Shetterley

Vincent Dell'anno

Tim Leonhardt

Felix Dominik Schiessl

Cecil Lynch

Michael Thomas Giba

Methods, systems, and apparatus for generating intensity modulated radiation therapy treatment plans. In one aspect, a method includes receiving data representing an optimization problem; iteratively processing, until termination criteria are met, the received data representing the optimization problem to obtain data representing a solution to the optimization problem, comprising, for each iteration: performing a classical search algorithm on an input for the iteration to determine a first solution; providing data representing the first solution to a quantum computing resource, wherein the data representing the first solution comprises a quadratic unconstrained binary optimization formulation of the optimization problem in a local region around the first solution; obtaining data representing a second solution from the quantum computing resource; and providing the data representing the second solution as input to a subsequent iteration; and initiating an action based on the data representing a solution to the optimization problem.

Quantum computation for intensity-modulated radiation therapy

Methods, systems, and apparatus for training a machine learning model to route received computational tasks in a system including at least one quantum computing resource. In one aspect, a method includes obtaining a first set of data, the first set of data comprising data representing multiple computational tasks previously performed by the system; obtaining input data for the multiple computational tasks previously performed by the system, comprising data representing a type of computing resource the task was routed to; obtaining a second set of data, the second set of data comprising data representing properties associated with using the one or more quantum computing resources to solve the multiple computational tasks; and training the machine learning model to route received data representing a computational task to be performed using the (i) first set of data, (ii) input data, and (iii) second set of data.

Quantum computing machine learning module

Methods, systems, and apparatus for root cause analysis in a communication network. In one aspect, a method includes providing a quantum computer with data representing a topology of the communication network, the topology comprising a graph of vertices representing network devices and edges representing connections between network devices; receiving, from the quantum computer, data representing a first subset of network devices, wherein the first subset comprises a dominating set of vertices or a vertex cover for the graph; monitoring network devices in the first subset to generate alarm data representing triggered network device alarms; providing the alarm data to a quantum computer; receiving, from the quantum computer, data representing a second subset of network devices, wherein the second subset comprises a set cover for the alarm data and the network devices in the second subset comprise diagnosed sources of failures in the communication network.

Quantum computing in root cause analysis of 5G and subsequent generations of communication networks

Methods and systems for a quantum computing approach to solving challenging, e.g., NP-complete, problems in transportation. One of the methods includes (a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system; (b) identifying a transportation metric associated with the transportation system; (c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the transportation metric; and (e) applying the operational parameter to the operation of the transportation system.

Quantum computing improvements to transportation

Implementations directed to providing a computer-implemented system for performing an action with a robot comprising receiving command information indicating a command related to performance of an action with a robot, identifying state information for a plurality of active routines that are actively running for the robot, the state information indicating a state for each of the active routines, determining contextual information for the command based on the accessed state information for the plurality of active routines, selecting one of the active routines as a handling routine to service the command based on the contextual information, determining an output module of the robot to perform the action based on the state of the handling routine and the contextual information, and executing one or more instructions to perform the action with the output module.

Robot orchestration architecture

A method for provisioning a computer includes providing a graph that defines relationships between one or more hardware components of a plurality of computers and component characteristics of the one or more hardware components, and relationships between one or more applications and requirements of the one or more applications. The method further includes receiving a selection of an application and determining, via the graph, whether at least one computer with hardware components capable of meeting the requirements of the application exists. If a computer exits, the method also includes communicating the application to the computer; triggering the computer to execute the application; and communicating, from the computer, data processed by the application to an external system.

Edge computing platform

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating multiple distinct test plans using a computing system. The system merges the each of the test plans to produce a first test plan and obtains performance data about automated execution of the first test plan by a robotics system. The system generates learned inferences for determining predictions about execution of the first test plan based on analysis of the performance data and adjusts the first test plan based on the learned inferences. The system generates a second test plan for execution by the computing system based on adjustments to the first test plan and performs the second test plan to test multiple devices using the robotics system.

Robotic regression testing for smart devices

Methods, systems, and apparatus for improving exchange systems. In one aspect, a method includes receiving data representing an exchange problem; determining, from the received data, an integer programming formulation of the exchange problem; mapping the integer programming formulation of the exchange problem to a quadratic unconstrained binary optimization (QUBO) formulation of the exchange problem; obtaining data representing a solution to the exchange problem from a quantum computing resource; and initiating an action based on the obtained data representing a solution to the exchange problem.

Quantum computation for optimization in exchange systems

Implementations include deploying portions of a model used in a cognitive computing process for execution on respective devices in a distributed system, and include processing a device list to provide a benchmark list that includes an inventory of devices across systems that provide data for execution of the model used in the cognitive computing process, each device being a candidate for executing at least a portion of the model, the benchmark list including the devices, and, for each device, accuracies of the device with respect to the at least a portion of the model, providing a deployment plan based on the device and benchmark lists, the deployment plan specifying tasks to be executed by each device, at least two devices included in respective systems, at least one device providing data that is to be processed based on the at least a portion of the model, and executing the deployment plan.

Model deployment based on benchmarked devices

According to an example, data acceleration may include receiving indications of levels of capabilities respectively needed for data movement, data processing, and data interactivity, and/or operational parameters associated with the data movement, the data processing, and the data interactivity. Data acceleration may further include determining, based on an analysis of the received indications and/or the operational parameters, specifications for the data movement to include streaming and/or batch, the data processing to include a big data platform, complex event processing, and/or an appliance, and the data interactivity to include an in-memory database (IMDB) and/or a distributed cache. Further, data acceleration may include generating, based on the determined specifications, a data acceleration architectural layout to meet the levels of capabilities respectively needed for the data movement, the data processing, and the data interactivity, and/or the operational parameters associated with the data movement, the data processing, and the data interactivity.

Data acceleration

Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for enhancing digital content provided from devices, and actions of providing, by a sensor of a device, primary digital content, providing, by the device, secondary digital content, the secondary digital content indicating a context, within which the primary digital content was generated, generating, by the device, a data package including the primary digital content and the secondary digital content, and transmitting, by the device, the data package to a back-end system over a network.

Enhancing digital content provided from devices

Growing community of inventors

San Jose, CA, United States of America

Carl Matthew Dukatz