activity
20192024
most citedMachine learning for predicting control landscape maps of quantum molecular dynamics: Laser-induced three-dimensional alignment of asymmetric top molecules

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

physics.chem-ph2024★ 3 cited

Machine learning for predicting control landscape maps of quantum molecular dynamics: Laser-induced three-dimensional alignment of asymmetric top molecules

Tomotaro Namba, Yukiyoshi Ohtsuki

Machine learning for predicting control landscape maps of full quantum molecular dynamics is examined through a case study of the laser-induced three-dimensional (3D) alignment of…

quant-ph2023

Optimal control for manipulating vibrational wave packets through polarizability interactions induced by non-resonant laser pulses

Reon Ishii, Tomotaro Namba, Hiroyuki Katsuki +2

On the basis of optimal control theory, we numerically study how to optimally manipulate molecular vibrational dynamics by using cycle-averaged polarizability interactions induced…

quant-ph2022

Optimal control for maximally creating and maintaining a superposition state of a two-level system under the influence of Markovian decoherence

Yukiyoshi Ohtsuki, Suicho Mikami, Toru Ajiki +1

Reducing decoherence is an essential step toward realizing general-purpose quantum computers beyond the present noisy intermediate-scale quantum (NISQ) computers. To this end, dyna…

physics.optics2019★ 2 cited

Engineering quantum wave-packet dispersion with a strong nonresonant femtosecond laser pulse

Hiroyuki Katsuki, Yukiyoshi Ohtsuki, Toru Ajiki +2

A non-dispersing wave packet has been attracting much interest from various scientific and technological viewpoints. However, most quantum systems are accompanied by anharmonicity,…