Bio
My research lies at the intersection of quantum physics and computational science. Specifically, I am interested in quantum computation realized in quantum many-body systems at low temperature, and its applications in quantum simulation and quantum machine learning.
Recent research highlight:
- Ancillary entangling Floquet kicks for accelerating quantum algorithms, (2024)
Variational quantum regression algorithm with encoded data structure, (2023)
Professional Experience
- R&D Staff Scientist, 91°µÍø (2022-now)
- Sr. Advanced Data Scientist/Applied Machine Learning Researcher, Acxiom, IPG (2017 -2021)
- Acoustic R&D Data Scientist (Data and Physical modeling), Formation Evaluation Group, ETC, Chevron (2014-2015)
- Senior Postdoctoral Scientist (Modeling on novel quantum materials), T4 Group, Los Alamos National Laboratory (2013-2014)
- Postdoctoral Fellow on (Physical modeling on Quantum Analog Computation with cold ions), Department of Physics, Georgetown University (2009-2012)
Awards
Acxiom Spike Award (2017)
Professional Development Award, University of Texas at Austin (2008)
Conference Fellowship for Enrico Fermi Summer School on Ultracold Fermi gases, Varenna, Italy (2006)
Academic Excellence Fellowship in Taiwan, Ministry of Education (1999)
Education
PHD, University of Texas at Austin, USA
BS & MS, National Central University, Taiwan, Republic of China