2 papers
quant-ph2026
Structured quantum learning via em algorithm for Boltzmann machines
Takeshi Kimura, Kohtaro Kato, Masahito Hayashi
Quantum Boltzmann machines (QBMs) are generative models with potential advantages in quantum machine learning, yet their training is fundamentally limited by the barren plateau pro…
quant-ph2025
Analysis of discrete modern Hopfield networks in open quantum system
Takeshi Kimura, Kohtaro Kato
The modern Hopfield network, proposed by Krotov and Hopfield, is a mathematical generalization of the Hopfield network, which is a basic model of associative memory that employs hi…