196 citations · 2.3k across the 104 of their papers we have counts for
9 papers · 1 filter
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.…
Sparse Modeling in Quantum Many-Body Problems
Junya Otsuki, Masayuki Ohzeki, Hiroshi Shinaoka +1
This review paper describes the basic concept and technical details of sparse modeling and its applications to quantum many-body problems. Sparse modeling refers to methodologies f…
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…
SpM: Sparse modeling tool for analytic continuation of imaginary-time Green's function
Kazuyoshi Yoshimi, Junya Otsuki, Yuichi Motoyama +2
We present SpM, a sparse modeling tool for the analytic continuation of imaginary-time Green's function, licensed under GNU General Public License version 3. In quantum Monte Carlo…
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…