Atos has been granted a patent for a method of building a hybrid quantum-classical computing network. The method involves transforming an application into a Petri net, which includes quantum processing units and plugin units. The Petri net is then transformed into a hybrid quantum-classical computing network by replacing building blocks with corresponding units and interconnecting them. The network allows for interchangeable building blocks and connections that transmit without processing or converting. GlobalData’s report on Atos gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
According to GlobalData’s company profile on Atos, Access control systems was a key innovation area identified from patents. Atos's grant share as of September 2023 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
Method of building a hybrid quantum-classical computing network
A recently granted patent (Publication Number: US11770297B2) describes a method for building a hybrid quantum-classical computing network. The network includes both network architecture and network workflow. The method involves transforming an application composed of services into a Petri net, which consists of Petri places and Petri transitions. The Petri places correspond to either a quantum processing unit or a plugin unit. The quantum processing unit includes quantum processing hardware and software, while the plugin unit converts jobs and results. The Petri transitions represent connections between the building blocks. The method further involves replacing the building blocks with their corresponding units and interconnecting them based on the topography of the Petri transitions.
The patent also mentions the inclusion of an orchestrator in the hybrid quantum-classical computing network. The orchestrator is specifically dedicated to managing the workflow of the network. The workflow can be either asynchronous or synchronous, and the orchestrator is adapted to handle both types. The connections in the network transmit data without processing or converting, and may introduce delays by queuing jobs and results. The orchestrator manages the job queues and result queues of all connections within the network.
The Petri net can consist of multiple bricks, each comprising a first type building block and a second type building block. These building blocks are interconnected through an interface that allows for interchangeability with replacing building blocks of different structures, as long as they have the same formats at their inputs and outputs. The Petri net can include bricks with analog quantum processing units, plugin units for converting digital jobs into analog jobs, digital quantum processing units, and classical central processing units.
The hybrid quantum-classical computing network described in the patent can also involve client interactions with a server located in a cloud. Additionally, the network can correspond to a high-performance cluster (HPC) with at least 100 calculation nodes.
Overall, the granted patent outlines a method for building a hybrid quantum-classical computing network using Petri nets and interchangeable building blocks. The inclusion of an orchestrator and the ability to handle both asynchronous and synchronous workflows adds flexibility to the network. The patent also mentions various configurations and components that can be part of the network, such as different types of quantum processing units and plugin units. The network can also interact with clients and be implemented as a high-performance cluster.
To know more about GlobalData’s detailed insights on Atos, buy the report here.
Premium Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
