Daniel Soh, Associate Professor of Optical Sciences

Prof. Soh obtained two PhD degrees, the first in high power fiber lasers from the Optoelectronics Research Centre at the University of Southampton, UK, and the second in quantum dynamic systems from the Applied Physics Department at Stanford University. With a rich background in both industry and national laboratories, he brings a breadth of knowledge and expertise to the position. His prior experience includes serving as an R&D manager in a Silicon Valley startup and large corporations, and a fourteen-year tenure as a member of technical staff at Sandia National Laboratories, California. His areas of interest and specialization include quantum sensing and quantum networks, specifically those based on dynamic open quantum systems. He has thirteen granted US patents. Google Scholar Link

Our ultimate goal is to investigate unconventional methods of quantum computation. These include quantum deep learning machines founded on quantum neural networks and reservoir quantum computation, which leverages complex dynamic quantum systems and their computing capabilities. Through these methods, we aim to achieve high-performance computation with minimal resource utilization.


Office – Meinel 521

Lab – Meinel 608

Contact –, 520-621-4425


Postdoctoral Researchers

Peter Ehlers

Chuanzhou Zhu

Graduate Students

Andrew Joseph Pizzimenti

Carter Givens Gillenwater

Ishwar Kaushik

Siddharth Vats

Charlotte Zehnder

Mohanbabu Mani