Search Results for author:
Found 4 papers, 0 papers with code
Generating gradients in the energy landscape using rectified linear type cost functions for efficiently solving 0/1 matrix factorization in Simulated Annealing
The 0/1 matrix factorization defines matrix products using logical AND and OR as product-sum operators, revealing the factors influencing various decision processes.
Characterization of Locality in Spin States and Forced Moves for Optimizations
Ising formulations are widely utilized to solve combinatorial optimization problems, and a variety of quantum or semiconductor-based hardware has recently been made available.
Efficient correlation-based discretization of continuous variables for annealing machines
However, there is a severe constraint on the number of binary variables with such machines.
Derivation of QUBO formulations for sparse estimation
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 quantum annealing.
