Welcome to the Lab 304
We are a dynamic research group at the College of Computer Science and Technology. Our research focuses on Optimization and Reinforcement Learning. We are interested in developing new algorithms and applying them to real-world problems. We are also interested in developing new theoretical tools to analyze and understand the algorithms.
To this end, we develop novel spectroscopic-imaging scanning tunneling microscopy (SI-STM) tools to visualize the relevant quantum mechanical degrees of freedom. We want to be able to build the perfect instruments to answer the scientific questions we deem most important (see Research).
We are located at Zhejiang University in Hangzhou, China.
We are looking for passionate new PhD students, Postdocs, and Master students to join the team (more info) !
News
6. March 2023
How does superconductivity break down with high doping? Our new paper in Nature Materials shines some light on the issue.
18. December 2022
Willem defends his PhD. Contratulations!
23. May 2022
Two new papers on arXiv! One on persistent gaps and non-mean-field breakdown of SC, and one on shot-noise of individual (putative) Majorana modes.
17. March 2022
Milan wins an ERC CoG grant! See Leiden news. 
29. October 2021
Our new paper, on Cooper pairs above Tc, is published in Science. See SRON news, TU Delft news, Leiden news, Physics World.
1. October 2021
Maialen will join us within a collaboration with the Swart Lab – welcome Maialen!
15. September 2021
Amber will join us with Casimir-Nanofront PhD fellowship – welcome Amber!
28. June 2021
Welcome Jinwon!
16. March 2021
Koen wrote about his research in EurophysicsNews (page 12).