22 citations · 52 across the 4 of their papers we have counts for
4 papers
Dual-Matrix Domain-Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes
Koji Nakano, Shunsuke Tsukiyama, Yasuaki Ito +6
The Ising model is defined by an objective function using a quadratic formula of qubit variables. The problem of an Ising model aims to determine the qubit values of the variables…
Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs
Koji Nakano, Daisuke Takafuji, Yasuaki Ito +5
Quadratic Unconstrained Binary Optimization (QUBO) is a combinatorial optimization to find an optimal binary solution vector that minimizes the energy value defined by a quadratic…
Solving Large Break Minimization Problems in a Mirrored Double Round-robin Tournament Using Quantum Annealing
Michiya Kuramata, Ryota Katsuki, Kazuhide Nakata
Quantum annealing (QA) has gained considerable attention because it can be applied to combinatorial optimization problems, which have numerous applications in logistics, scheduling…
Larger Sparse Quadratic Assignment Problem Optimization Using Quantum Annealing and a Bit-Flip Heuristic Algorithm
Michiya Kuramata, Ryota Katsuki, Kazuhide Nakata
Quantum annealing and D-Wave quantum annealer attracted considerable attention for their ability to solve combinatorial optimization problems. In order to solve other type of optim…