Telefonaktiebolaget LM Ericsson had three patents in quantum computing during Q2 2024. The patent filed by Telefonaktiebolaget LM Ericsson in Q2 2024 describes a method for defining a virtual link in a Software Defined Network (SDN) with security constraints. The method involves identifying Quantum Cryptography (QC) enabled physical links in the network, computing a path for the virtual link using only these QC enabled links, and initiating provisioning of the virtual link along the computed path. GlobalData’s report on Telefonaktiebolaget LM Ericsson gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Telefonaktiebolaget LM Ericsson had no grants in quantum computing as a theme in Q2 2024.

Recent Patents

Application: Method and apparatus for a software defined network (Patent ID: US20240146518A1)

The patent filed by Telefonaktiebolaget LM Ericsson describes a method and apparatus for defining virtual links in a Software Defined Network (SDN) using Quantum Cryptography (QC) enabled physical links. The method involves receiving a request to define a virtual link with security constraints, identifying QC enabled physical links from the network topology, computing a path using only these QC enabled links, and initiating provisioning of the virtual link. The apparatus includes a controller and a Path Computation Element (PCE) to carry out these functions, with support from a Traffic Engineering Database (TED) containing QC support information.

The method and apparatus focus on ensuring secure communication within the SDN by utilizing QC enabled physical links for virtual link provisioning. By interrogating the TED for QC support information and considering security constraint attributes, such as sensitivity levels, the system can determine the appropriate path for the virtual link. The apparatus is designed to execute these functions as virtualized network functions (VNFs), emphasizing the importance of secure communication and efficient path computation in SDNs.

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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.