196 citations · 2.3k across the 104 of their papers we have counts for
6 papers · 2 filters
Fair Sampling by Simulated Annealing on Quantum Annealer
Masayuki Yamamoto, Masayuki Ohzeki, Kazuyuki Tanaka
Conventional quantum annealing does not sample all ground states fairly. We demonstrate that fair sampling can be achieved by performing simulated annealing on a quantum annealer.…
Efficient partition of integer optimization problems with one-hot encoding
Shuntaro Okada, Masayuki Ohzeki, Shinichiro Taguchi
Quantum annealing is a heuristic algorithm for solving combinatorial optimization problems, and D-Wave Systems Inc. has developed hardware for implementing this algorithm. The curr…
Efficient quantum and simulated annealing of Potts models using a half-hot constraint
Shuntaro Okada, Masayuki Ohzeki, Kazuyuki Tanaka
The Potts model is a generalization of the Ising model with components. In the fully connected ferromagnetic Potts model, a first-order phase transition is induced by varying…
Item Listing Optimization for E-commerce Websites based on Diversity
Naoki Nishimura, Kotaro Tanahashi, Koji Suganuma +2
For e-commerce websites, deciding the manner in which items are listed on webpages is an important issue because it can dramatically affect item sales. One of the simplest strategi…
Experimental and Theoretical Study of Thermodynamic Effects in a Quantum Annealer
Tadashi Kadowaki, Masayuki Ohzeki
Quantum devices are affected by intrinsic and environmental noises. An in-depth characterization of noise effects is essential for exploiting noisy quantum computing. To this end,…
Improving solutions by embedding larger subproblems in a D-Wave quantum annealer
Shuntaro Okada, Masayuki Ohzeki, Masayoshi Terabe +1
Quantum annealing is a heuristic algorithm that solves combinatorial optimization problems, and D-Wave Systems Inc. has developed hardware implementation of this algorithm. However…