activity
20182026
most citedImproving solutions by embedding larger subproblems in a D-Wave quantum annealer

97 citations · 98 across the 4 of their papers we have counts for

collaborators
Showing quant-phShow all

5 papers · 1 filter

quant-ph2026

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…

quant-ph2025

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…

quant-ph2024

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…

quant-ph20191 cited

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…

quant-ph201997 cited

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…