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quant-ph2021
Manipulating phonons of a trapped-ion system using optical tweezers
Yi Hong Teoh, Manas Sajjan, Zewen Sun +2
We propose an experimental architecture where an array of optical tweezers affords site-dependent control over the confining potential of a conventional radio-frequency ion trap. T…
quant-ph2019
Machine learning design of a trapped-ion quantum spin simulator
Yi Hong Teoh, Marina Drygala, Roger G. Melko +1
Trapped ions have emerged as one of the highest quality platforms for the quantum simulation of interacting spin models of interest to various fields of physics. In such simulators…