44 citations · 64 across the 6 of their papers we have counts for
6 papers
Uniformity Bias in Ground-State Sampling Induced by Replica Alignment in Quantum Monte Carlo for Quantum Annealing
Naoki Maruyama, Masayuki Ohzeki, Kazuyuki Tanaka
Quantum annealing (QA) with a transverse field often fails to sample degenerate ground states fairly, limiting applicability to problems requiring diverse optimal solutions. Althou…
Relaxation-assisted reverse annealing on nonnegative/binary matrix factorization
Renichiro Haba, Masayuki Ohzeki, Kazuyuki Tanaka
Quantum annealing has garnered significant attention as meta-heuristics inspired by quantum physics for combinatorial optimization problems. Among its many applications, nonnegativ…
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…
Travel time optimization on multi-AGV routing by reverse annealing
Renichiro Haba, Masayuki Ohzeki, Kazuyuki Tanaka
Quantum annealing has been actively researched since D-Wave Systems produced the first commercial machine in 2011. Controlling a large fleet of automated guided vehicles is one of…
Comparing the effects of Boltzmann machines as associative memory in Generative Adversarial Networks between classical and quantum sampling
Mitsuru Urushibata, Masayuki Ohzeki, Kazuyuki Tanaka
We investigate the quantum effect on machine learning (ML) models exemplified by the Generative Adversarial Network (GAN), which is a promising deep learning framework. In the gene…
Combinatorial Black-box Optimization for Vehicle Design Problem
Ami S. Koshikawa, Masayuki Ohzeki, Masamichi J. Miyama +4
Black-box optimization minimizes an objective function without derivatives or explicit forms. Such an optimization method with continuous variables has been successful in the field…