196 citations · 2.3k across the 104 of their papers we have counts for
108 papers
Maxwell's Demon in Markov Chain Monte Carlo: Cooling Information Flow and Entropy Balance
Masayuki Ohzeki
Markov chain Monte Carlo algorithms can be viewed as feedback devices that compare a proposed move with the target distribution and then accept or reject it. In this paper the Maxw…
Dynamical Criticality of a Machine-learning-assisted Monte Carlo algorithm for a Mean-Field Spin Glass model
Seiya Miyamoto, Masayuki Ohzeki, Yoshihiko Nishikawa
We critically assess the performance of an autoregressive generative neural network model by applying it to an antiferromagnetic Ising model on a random regular graph. We train the…
Spatio-temporal reconstruction of substance dynamics using compressed sensing in multi-spectral magnetic resonance spectroscopic imaging
Utako Yamamoto, Hirohiko Imai, Kei Sano +3
The objective of our study is to observe dynamics of multiple substances in vivo with high temporal resolution from multi-spectral magnetic resonance spectroscopic imaging (MRSI) d…
Hybrid Algorithm of Linear Programming Relaxation and Quantum Annealing
Taisei Takabayashi, Masayuki Ohzeki
The demand for classical-quantum hybrid algorithms to solve large-scale combinatorial optimization problems using quantum annealing (QA) has increased. One approach involves obtain…
Quadratic Unconstrained Binary Formulation for Traffic Signal Optimization on Real-World Maps
Reo Shikanai, Masayuki Ohzeki, Kazuyuki Tanaka
The D-Wave quantum annealing machine can quickly find the optimal solution for quadratic unconstrained binary optimization (QUBO). One of the applications where the use of quantum…
Efficient Algorithm for Binary Quadratic Problem by Column Generation and Quantum Annealing
Sota Hirama, Masayuki Ohzeki
We propose an efficient algorithm that combines column generation and quantum annealing to solve binary quadratic problems. Binary quadratic problems are difficult to solve because…