NXP Semiconductors had four patents in quantum computing during Q2 2024. The patent filed by NXP Semiconductors NV in Q2 2024 relates to a data processing system for lattice-based cryptography using matrix multiplication. The system includes instructions for applying functions to matrices of polynomials, adding rows, multiplying matrices with vectors, and verifying for faults to ensure secure cryptographic operations. GlobalData’s report on NXP Semiconductors gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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NXP Semiconductors had no grants in quantum computing as a theme in Q2 2024.
Recent Patents
Application: Fault detection in post-quantum cyptography (Patent ID: US20240137214A1)
The patent by NXP Semiconductors NV describes a data processing system that involves instructions for cryptographic operations using matrix multiplication for lattice-based cryptography in a processor. The system includes functions for generating outputs from matrix rows, adding additional rows to the matrix, multiplying the modified matrix with a vector of polynomials, applying a verification function to detect faults in the multiplication process, and conducting cryptographic operations based on the verification results. The system also incorporates random shuffling of rows and columns in the matrix, as well as relabeling of output vectors to enhance security and prevent potential attacks.
Furthermore, the patent outlines various claims related to the data processing system, including the application of specific functions to generate additional rows in the matrix, the use of verification functions to detect faults, and the incorporation of random shuffling techniques for added security. These claims detail the specific functions, constants, and operations involved in the cryptographic process, emphasizing the importance of secure matrix multiplication for lattice-based cryptography. Overall, the patent presents a comprehensive system for cryptographic operations that prioritizes security and fault detection through innovative matrix manipulation techniques.
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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.
