3 papers
quant-ph2025
Information geometry of nonmonotonic quantum natural gradient
Hideyuki Miyahara
Natural gradient is an advanced optimization method based on information geometry, where the Fisher metric plays a crucial role. Its quantum counterpart, known as quantum natural g…
quant-ph2024
Quantum natural gradient without monotonicity
Toi Sasaki, Hideyuki Miyahara
Natural gradient (NG) is an information-geometric optimization method that plays a crucial role, especially in the estimation of parameters for machine learning models like neural…
physics.chem-ph2023
Information geometric bound on general chemical reaction networks
Tsuyoshi Mizohata, Tetsuya J. Kobayashi, Louis-S. Bouchard +1
We investigate the dynamics of chemical reaction networks (CRNs) with the goal of deriving an upper bound on their reaction rates. This task is challenging due to the nonlinear nat…