研究主题1：机器学习在量子计算机上的应用
研究主题2：第一性原理在量子计算机上的应用

通过利用量子力学特性（叠加和纠缠），量子计算机可以在特定算法上比经典计算机更有效地执行计算。近期量子计算机在硬件和软件上进展迅速，在计算化学应用中也得到了成功，许多在经典计算机上难以处理的问题在量子计算的帮助下也可望获得解决。

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 ] 返回小木虫查看更多