研究主題1：機器學習在量子計算機上的應用
研究主題2：第一性原理在量子計算機上的應用

通過利用量子力學特性（疊加和糾纏），量子計算機可以在特定算法上比經典計算機更有效地執(zhí)行計算。近期量子計算機在硬件和軟件上進展迅速，在計算化學應用中也得到了成功，許多在經典計算機上難以處理的問題在量子計算的幫助下也可望獲得解決。

supervisor: dr. alice hu, department of materials science and engineering, and department of mechanical engineering, city university of hong kong

topic1: machine learning on quantum computer
topic2: application of ab-initio calculation method on quantum computer.

we currently have strong collaboration with other research groups. by joining our group, you will participate in some very innovative and fundamental modeling and analysis technique. we work as a team and discuss with each other frequently. a self-motivated student who is easy to communicate is expected. research assistant with hkd17000/month is supported. please send your cv, transcript and english score to dr. alice hu (alicehu@cityu.edu.hk).

requirements:
1. familiar with machine learning or experience in coding (any language).
2. master degree in mathematics, physics, computer science, materials science, or chemistry is preferred; while exceptional bachelor degree holders are also welcome.
3. english skills: ielts>6.5, or toefl>79.

[長期有效]

[ Last edited by abissy on 2022-6-15 at 17:44 ] 返回小木蟲查看更多