Accenture Global Solutions Limited

Jurgen Albert Weichenberger

Teresa Sheausan Tung

Andrew E Fano

Jean-Luc Chatelain

Ishmeet Singh Grewal

Daniel Garrison

Mohamad Mehdi Nasr-Azadani

Zaid Tashman

William Richard Gatehouse

Jan Andre Nicholls

Loizos Markides

Rohit Banerji

Matin Momeni

Yassine Houari

Thanos Alifantis

Marius Meger

Shereen Ashraf

Giorgio Michele Scolozzi

In some implementations, a control system may obtain historical data associated with usage of a distillation column during a historical time period. The control system may configure a prediction model to monitor the distillation column for a hazardous condition. The prediction model may be trained based on training data that is associated with occurrences of the hazardous condition. The control system may monitor, using the prediction model, the distillation column to determine a probability that the distillation column experiences the hazardous condition within a threshold time period. The prediction model may be configured to determine the probability based on measurements from a set of sensors of the distillation column. The control system may perform, based on the probability satisfying a probability threshold, an action associated with the distillation column to reduce a likelihood that the distillation column experiences the hazardous condition within the threshold time period.

Monitoring and controlling an operation of a distillation column

Methods, systems, and apparatus for solving optimization tasks. In one aspect, a system includes one or more classical processors and one or more quantum computing resources, wherein the one or more classical processors and one or more quantum computing resources are configured to perform operations comprising receiving input data comprising data specifying a computational task to be solved; processing the received input data using a first quantum computing resource to generate data representing a reduced computational task, wherein the reduced computational task has lower dimensionality that the computational task; and processing the data representing the reduced computational task to obtain a solution to the computational task.

Solving computational tasks using quantum computing

This disclosure relates to a reconfigurable simulative and predictive digital assistant/platform for simulation of a multi-stage processing facility. The digital assistant generates and assembles digital representations of the individual physical processing stages and components of the multi-stage processing facility in a reconfigurable manner according to a set of configuration commands generated using user inputs in a graphical user interface. At least one of the digital representations include a reusable predictive model that is trained when the digital representation is generated by the digital assistant. The digital assistant further performs simulation of the multi-state processing facility 'as is' or in alternative 'what-if' scenarios by simulating the digital representations according to a set of timing signals in the set of configuration commands.

Reconfigurable predictive and simulative digital platform for multi-stage processing facilities

A piping and instrumentation planning and maintenance system includes an input/output (I/O) interface for receiving a target piping and instrumentation diagram (PID) from a document source system; a processor in communication with the I/O interface; and non-transitory computer readable media in communication with the processor. The non-transitory computer readable media store instruction code, which when executed by the processor, causes the processor to classify entities and properties thereof within the target PID. The entities include one or more assets and interconnections therebetween specified in the PID. The processor compares the classified entities to a knowledge base that represents relationships between a plurality of assets and interconnections between the assets. The processor then determines, based on the comparison, whether the assets in the target PID are interconnected correctly. When the assets are not interconnected correctly, the processor generates a report to identify the assets that are not interconnected correctly. The report facilitates proactive replacement or rearrangement of assets in a facility associated with the target PID.

Piping and instrumentation planning and maintenance system

Methods, systems, and apparatus for solving optimization tasks. In one aspect, a method includes receiving input data comprising (i) data specifying an optimization task to be solved, and (ii) data specifying task objectives for solving the optimization task, comprising one or more local task objectives and one or more global task objectives; processing the received input data to obtain one or more initial solutions to the optimization task based on the local task objectives, wherein at least one initial solution is obtained from a first quantum computing resource; and processing the generated one or more initial solutions using a second quantum computing resource to generate a global solution to the optimization task based on the global task objectives.

Multi-state quantum optimization engine

Apparatus and methods for solving global optimization tasks using quantum computing. In one aspect, a method includes receiving input data, the input data comprising (i) data representing one or more local solutions to the global optimization task, and (ii) data representing one or more task objectives; mapping the received input data to a quantum domain; performing a genetic algorithm on the mapped input data using the quantum computing device to obtain a solution to the global optimization task in the quantum domain; and obtaining a solution to the global optimization task in a classical domain by mapping the obtained solution to the global optimization task in the quantum domain to the classical domain.

Quantum optimization system

Growing community of inventors

Woking, United Kingdom

Jurgen Albert Weichenberger