Graduate Student

Yi Hong Teoh

Position: PhD (2021- , co-supervised), MSc (2019-21)
Email: yhteoh@uwaterloo.ca
Extention: x36471
office: QNC B216
Previous Institution: U Waterloo, URA (PHYS 437, 2018-19))

Yi Hong is a PhD student working jointly with Prof. Roger Melko and Prof. Rajibul Islam. He works on theoretical aspects of quantum simulation including implementing machine learning methods. Previously, Yi Hong did his MSc thesis with Prof. Islam and Melko, and his PHYS 437 undergraduate thesis with Prof. Islam as well.

Publications

4. [2024] Investigations of 2D ion crystals in a hybrid optical cavity trap for quantum information processing

Zewen Sun, Yi Hong Teoh, Fereshteh Rajabi, Rajibul Islam
Phys. Rev. A 109, 032426 (2024) arXiv:2308.09231

3. [2023] Ion Trap Long-Range XY Model for Quantum State Transfer and Optimal Spatial Search

Dylan Lewis, Leonardo Banchi, Yi Hong Teoh, Rajibul Islam, Sougato Bose
Quantum Science and Technology 8, 035025 (2023) arXiv:2206.13685

2. [2021] Manipulating phonons of a trapped-ion system using optical tweezers

Yi Hong Teoh, Manas Sajjan, Zewen Sun, Fereshteh Rajabi, Rajibul Islam
Phys. Rev. A 104, 022420 (2021) arXiv:2103.03273

1. [2020] Machine learning design of a trapped-ion quantum spin simulator

Y. H. Teoh, M. Drygala, R. G. Melko, R. Islam
Quantum Sci. Technol. 5, 024001 (2020) arXiv:1910.02496