General Electric had five patents in quantum computing during Q2 2024. The patent filed by General Electric Co in Q2 2024 involves a system and method for determining clock drift and variance in a time-sensitive Ethernet network. It calculates an accumulated clock offset along the network path and sets a dynamic guard band size based on this offset. This guard band is then used to restrict the timing of Ethernet frame communication through the nodes in the network. GlobalData’s report on General Electric gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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General Electric had no grants in quantum computing as a theme in Q2 2024.

Recent Patents

Application: System and method for controlling time dilation in time-sensitive networks (Patent ID: US20240214106A1)

The patent filed by General Electric Co. describes a system and method for determining clock drift and clock variance in a time-sensitive Ethernet network. The system calculates an accumulated clock offset along a network path based on these parameters and determines a guard band with a dynamic size to restrict the timing of Ethernet frame communication through the nodes. The size of the guard band is determined based on the accumulated clock offset and an eigenvalue centrality metric, which is calculated based on the location of the nodes in the network.

Furthermore, the system dynamically allocates the guard band to nodes to prevent the communication of Ethernet frames during specific time intervals in the network schedule. The guard band can be adjusted in size based on changes in clock drifts, clock variances, or the eigenvalue centrality metric. Additionally, the system can determine the accumulated clock offset between nodes along a network path and allocate the guard band accordingly. Overall, the system aims to optimize the timing of Ethernet frame communication in a time-sensitive network by considering clock parameters and network topology.

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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.