97 citations · 115 across the 8 of their papers we have counts for
8 papers
Impact of molecular orbital localization on quantum computational resources for Hamiltonian simulation: A benchmark study of hydrogen chain systems
Kenji Sugisaki, Yuhei Tachi, Masayoshi Terabe +1
We investigate how molecular orbitals used as the basis of wave function expansion and how operator coefficient-based and locality-based Hamiltonian truncation affects the computat…
Supramolecular approach-based intermolecular interaction energy calculations using quantum phase estimation algorithm
Yuhei Tachi, Akihiko Arakawa, Taisei Osawa +2
Accurate computation of non-covalent, intermolecular interaction energies is important to understand various chemical phenomena, and quantum computers are anticipated to accelerate…
Routing and Scheduling Optimization for Urban Air Mobility Fleet Management using Quantum Annealing
Renichiro Haba, Takuya Mano, Ryosuke Ueda +4
The growing integration of urban air mobility (UAM) for urban transportation and delivery has accelerated due to increasing traffic congestion and its environmental and economic re…
Quantum Annealing of Vehicle Routing Problem with Time, State and Capacity
Hirotaka Irie, Goragot Wongpaisarnsin, Masayoshi Terabe +2
We propose a brand-new formulation of capacitated vehicle routing problem (CVRP) as quadratic unconstrained binary optimization (QUBO). The formulated CVRP is equipped with time-ta…
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…
Control of automated guided vehicles without collision by quantum annealer and digital devices
Masayuki Ohzeki, Akira Miki, Masamichi J. Miyama +1
We formulate an optimization problem to control a large number of automated guided vehicles in a plant without collision. The formulation consists of binary variables. A quadratic…
Optimization of neural networks via finite-value quantum fluctuations
Masayuki Ohzeki, Shuntaro Okada, Masayoshi Terabe +1
We numerically test an optimization method for deep neural networks (DNNs) using quantum fluctuations inspired by quantum annealing. For efficient optimization, our method utilizes…
Statistical-mechanical analysis of compressed sensing for Hamiltonian estimation of Ising spin glass
Chako Takahashi, Masayuki Ohzeki, Shuntaro Okada +3
Several powerful machines, such as the D-Wave 2000Q, dedicated to solving combinatorial optimization problems through the Ising-model formulation have been developed. To input prob…