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- W4220797764 abstract "Abstract Ising machines efficiently solve the combinatorial optimization problems described by the Ising model or the quadratic unconstrained binary optimization (QUBO) formulation. A hybrid method based on the QUBO formulation for compressed sensing is proposed. The proposed method comprises alternative steps of discrete and continuous optimization. In the discrete optimization step, the objective function is described by the QUBO formulation. Successful examples obtained via the proposed method are demonstrated. The performance of the proposed method depends highly on the initial conditions." @default.
- W4220797764 created "2022-04-03" @default.
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- W4220797764 date "2022-03-01" @default.
- W4220797764 modified "2023-09-26" @default.
- W4220797764 title "Compressed sensing based on QUBO formulation" @default.
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- W4220797764 doi "https://doi.org/10.1088/1742-6596/2207/1/012033" @default.
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