4 papers
Effectiveness of Binary Autoencoders for QUBO-Based Optimization Problems
Tetsuro Abe, Masashi Yamashita, Shu Tanaka
In black-box combinatorial optimization, objective evaluations are often expensive, so high quality solutions must be found under a limited budget. Factorization machine with quant…
Fair sampling with temperature-targeted QAOA based on quantum-classical correspondence theory
Tetsuro Abe, Shu Tanaka
In combinatorial optimization problems with degenerate ground states, fair sampling of degenerate solutions is essential. However, the quantum approximate optimization algorithm (Q…
Structural Comparison of Error Mitigation Methods for Ising Machines: Penalty-Spin Model versus Stacked Model
Tetsuro Abe, Kanta Hino, Shu Tanaka
Error-mitigation methods for Ising machines are reexamined not merely as noise-suppression techniques but as a structural design problem of replica-coupled Ising models. Using simu…
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…