D-Wave Systems has patented a hybrid quantum-classical approach for solving computational problems. The method combines outputs from a quantum processor with a classical Branch and Bound algorithm, leveraging quantum properties to find optimal solutions. This innovation enhances the efficiency and accuracy of problem-solving processes. GlobalData’s report on D-Wave Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on D-Wave Systems, was a key innovation area identified from patents.
Hybrid quantum-classical method for solving computational problems
A recently granted patent (Publication Number: US11900264B2) discloses a method and computational system for solving problems with at least one optimal solution using a combination of quantum and non-quantum processors. The method involves embedding the problem into a regular structure on the quantum processor, performing quantum annealing to generate potential solutions, determining solver parameters based on the generated samples, and executing a Branch-and-Bound algorithm to find the optimal solution. The non-quantum processor handles the embedding, instruction of quantum annealing, parameter determination, and algorithm execution, showcasing a novel approach to problem-solving.
Furthermore, the computational system described in the patent allows for the embedding of problems into the quantum processor's topology, statistical analysis of generated samples, iterative generation of potential solutions, and concurrent operation of quantum annealing and algorithm execution. The system's non-quantum processor plays a crucial role in managing the problem-solving process, from embedding to final solution generation. By combining the strengths of quantum and non-quantum processors, this patented method and system offer a unique approach to tackling problems with optimal solutions efficiently and effectively, paving the way for advancements in computational problem-solving 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.
