Rolls-Royce had one patents in quantum computing during Q4 2023.The patent describes a method for determining solutions to linear matrix equations by using a combination of unitary matrices, updating matrices and vectors based on the solutions obtained, and iteratively refining the solutions. GlobalData’s report on Rolls-Royce gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Rolls-Royce grant share with quantum computing as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Determining solutions to a number of linear matrix equations (Patent ID: US20230385368A1)

The patent by Rolls-Royce Holdings Plc describes a method for determining solutions to linear matrix equations using a combination of unitary matrices. The method involves updating matrices and vectors based on the obtained solutions, and adjusting coefficients of the unitary matrices to find updated solutions. The approach can be implemented on classical computing devices or quantum computing devices, where quantum states of qubits are manipulated to find solutions. The method can be applied to various problems, such as computational fluid dynamics or finite element analysis, and the obtained solutions can be used in the design process of components or systems.

The patent also includes a system for implementing the method, which involves determining unitary matrices equivalent to the matrix A, finding solutions to the linear matrix equation, updating matrices and vectors, and adjusting coefficients of unitary matrices. The system can include both classical and quantum computing devices, allowing for flexibility in the implementation of the method. By utilizing a combination of classical and quantum computing resources, the system can efficiently solve linear matrix equations and provide solutions for various engineering problems, contributing to advancements in design processes for components, sub-systems, or systems.

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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.