2 citations · 3 across the 8 of their papers we have counts for
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Extending Sample Persistence Variable Reduction for Constrained Combinatorial Optimization Problems
Shunta Ide, Shuta Kikuchi, Shu Tanaka
Constrained combinatorial optimization problems (CCOPs) are challenging to solve due to the exponential growth of the solution space. When tackled with Ising machines, constraints…
Effectiveness of cardinality-return weighted maximum independent set approach for financial portfolio optimization
Keita Takahashi, Tetsuro Abe, Yasuhito Nakamura +3
The portfolio optimization problem is a critical issue in asset management and has long been studied. Markowitz's mean-variance model has fundamental limitations, such as the assum…
Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines
Shuta Kikuchi, Nozomu Togawa, Shu Tanaka
To enhance the performance of quantum annealing machines, several methods have been proposed to reduce the number of spins by fixing spin values through preprocessing. We proposed…
SWIFT-FMQA: Enhancing Factorization Machine with Quadratic-Optimization Annealing via Sliding Window
Mayumi Nakano, Yuya Seki, Shuta Kikuchi +1
Black-box (BB) optimization problems aim to identify an input that maximizes or minimizes the output of a function (the BB function) whose input-output relationship is unknown. Fac…
Quantitative analysis of the effectiveness of mid-anneal measurement in quantum annealing
Keita Takahashi, Shu Tanaka
Quantum annealing is a promising metaheuristic for solving constrained combinatorial optimization problems. However, parameter tuning difficulties and hardware noise often prevent…