2 papers
quant-ph2026
Kernel Learning for Regression via Quantum Annealing Based Spectral Sampling
Yasushi Hasegawa, Masayuki Ohzeki
While quantum annealing (QA) has been developed for combinatorial optimization, practical QA devices operate at finite temperature and under noise, and their outputs can be regarde…
cs.LG2025
Performance Evaluation of Ising and QUBO Variable Encodings in Boltzmann Machine Learning
Yasushi Hasegawa, Masayuki Ohzeki
We compare Ising ({-1, +1}) and QUBO ({0, 1}) encodings for Boltzmann machine learning under controlled protocols that fix the sampler, optimizer, and learning-rate design within e…