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cs.IT2022★ 2 cited
Sparse Signal Reconstruction with QUBO Formulation in l0-regularized Linear Regression
Naoki Ide, Masayuki Ohzeki
An l0-regularized linear regression for a sparse signal reconstruction is implemented based on the quadratic unconstrained binary optimization (QUBO) formulation. In this method, t…
cs.IT2020★ 8 cited
Maximum-Likelihood Channel Decoding with Quantum Annealing Machine
Naoki Ide, Tetsuya Asayama, Hiroshi Ueno +1
We formulate maximum likelihood (ML) channel decoding as a quadratic unconstraint binary optimization (QUBO) and simulate the decoding by the current commercial quantum annealing m…