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Abstract

A data processing device configured to: detect magnitude of correlate on of a continuous variable pair included in a plurality of continuous variables based on information regarding a first evaluation function that includes the plurality of continuous variables obtained by formulating a combinatorial optimization problem, allocate a larger number of common binary variables to the continuous variable pair as the correlation is larger at a time of allocating a binary variable to each of the plurality of continuous variables, generate correspondence information that indicates a correspondence relationship between each of the plurality of continuous variables and the binary variable, convert the first evaluation function into a second evaluation function that includes a plurality of binary variables, the second evaluation function being Ising-type, set coefficient information of the second evaluation function, and search for a solution to the combinatorial optimization problem using the second evaluation function and the coefficient information.

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