Denso had two patents in quantum computing during Q2 2024. Denso Corp filed a patent for an optimization process that determines the optimal value of a contribution of an orthogonal magnetic field function for binary variable qubits in a combinatorial optimization problem. The process involves designating an optimal qubit based on evaluation index, determining the strength parameter, and outputting the optimal solution by mapping all strength parameters for qubits. GlobalData’s report on Denso gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Denso had no grants in quantum computing as a theme in Q2 2024.
Recent Patents
Application: Quantum computing system, quantum computing device, processing method, and storage medium for storing processing program (Patent ID: US20240202563A1)
The patent filed by Denso Corp describes an optimization process for determining the optimal value of a contribution of an orthogonal magnetic field function for binary variable qubits in a quantum computing system. The process involves extracting the optimal qubit based on an evaluation index, determining the strength parameter, and outputting the optimal solution by mapping the strength parameters for all qubits. The system controls quantum annealing and a quantum gate to process the qubits for solving combinatorial optimization problems, with the optimization process involving phase information and phase kickback states.
The claims in the patent detail the specific processes and components of the quantum computing system, including the extraction of optimal qubits based on evaluation indexes, determination of strength parameters, and outputting of optimal solutions. The system includes an annealing process that controls the contribution of cost functions, transverse magnetic field functions, and orthogonal magnetic field functions, with the optimization process sequentially determining optimal values for the orthogonal magnetic field function based on final states. Additionally, the patent describes the use of a processor, storage medium, and quantum gate circuit in executing the optimization process for solving combinatorial optimization problems using binary variable qubits.
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