2 papers
quant-ph2026
Lie-Algebraic Analysis of Generators: Approximation-Error Bounds and Barren-Plateau Heuristics
Hiroshi Ohno
Lie algebras provide a useful framework for theoretical analysis in quantum machine learning, particularly in hybrid quantum-classical learning. From the viewpoint of function appr…
stat.ML2024
Unified theory of upper confidence bound policies for bandit problems targeting total reward, maximal reward, and more
Nobuaki Kikkawa, Hiroshi Ohno
The upper confidence bound (UCB) policy is recognized as an order-optimal solution for the classical total-reward bandit problem. While similar UCB-based approaches have been appli…