4 papers
Reservoir computing by thin film embedded with magnetic impurities
Shuto Kamakura, Tomi Ohtsuki, Jun-ichiro Ohe
The reservoir computing based on the thin film embedded with magnetic impurities in the presence of the long-range (the dipole-dipole) interaction is numerically investigated. We s…
Adaptive Interpolating Quantum Transform: A Quantum-Native Framework for Efficient Transform Learning
Gekko Budiutama, Shunsuke Daimon, Hirofumi Nishi +3
Machine learning on quantum computers has attracted attention for its potential to deliver computational speedups in different tasks. However, deep variational quantum circuits req…
Universal Stochastic Equations of Monitored Quantum Dynamics
Zhenyu Xiao, Tomi Ohtsuki, Kohei Kawabata
We investigate the monitored quantum dynamics of Gaussian mixed states and derive the universal Fokker-Planck equations that govern the stochastic time evolution of entire density-…
Forecasting long-time dynamics in quantum many-body systems by dynamic mode decomposition
Ryui Kaneko, Masatoshi Imada, Yoshiyuki Kabashima +1
Reliable numerical computation of quantum dynamics is a fundamental challenge when the long-ranged quantum entanglement plays essential roles as in the cases governed by quantum cr…