3 papers
physics.chem-ph2024
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…