1 paper
Tomohiro Yokota, Makiko Konoshima, Hirotaka Tamura +1
We propose a quadratic unconstrained binary optimization (QUBO) formulation of the l1-norm, which enables us to perform sparse estimation of Ising-type annealing methods such as qu…