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quant-ph2026

Optimization versus fair sampling in quantum annealing: An exactly characterized frustrated Ising benchmark

Masaru Hitomi, Masayuki Ohzeki

Reaching a degenerate ground-state manifold and sampling it uniformly are distinct properties of a quantum annealer. We quantify this distinction using an Ising ring with additiona…

quant-ph2026

QUBO-Based Optimization of Social Indicator Configurations for Working-Age Population Growth

Hayate Wada, Seiya Miyamoto, Tatsumasa Ogawa +3

The decline of the working-age population is a major challenge for regional sustainability, particularly in ageing societies such as Japan. We present a methodological demonstratio…

quant-ph2026

Interpretation of Unfair Sampling in Quantum Annealing by Node Centrality

Naoki Maruyama, Masayuki Ohzeki

In applications where multiple optimal solutions are needed, transverse-field quantum annealing (QA) is known to sample degenerate ground states in a strongly biased manner. Despit…

quant-ph2025

Quantum-classical hybrid algorithm using quantum annealing for multi-objective job shop scheduling

Kenta Sawamura, Kensuke Araki, Naoki Maruyama +2

Efficient production planning is essential in modern manufacturing to improve performance indicators such as lead time and to reduce reliance on human intuition. While mathematical…

quant-ph2025

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…

quant-ph2025

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…

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…