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Dr. Daniel Soh received his first PhD in high power fiber lasers from University of Southampton, UK, in 2005. He developed and commercialized high power lasers in silicon valley companies including JDSU until he joined Sandia National Laboratories in 2009. Initially, Dr. Soh contributed to Sandia’s high power laser development. In 2013, he turned his interest to quantum information science. He went back to college for reeducation and obtained his second PhD on quantum dynamical systems from Stanford University in 2019. His recent interests are quantum communications, quantum computing, quantum sensing, and quantum networks. He has published more than 70 peer-reviewed journal articles and has authored 10 granted US patents.
Andy Mounce has research experience in condensed matter physics, semiconductor qubits, nitrogen vacancy magnetometry, and defects in wide band gap semiconductors. His expertise includes utilizing quantum information science techniques for understanding basic properties of quantum materials and quantum information relevant materials, such as superconductors, strongly correlated electronic materials, magnetic materials, and topological phases in materials. These techniques include cryogenic amplification, optically detected magnetic resonance, nitrogen vacancy detected magnetometry, photoluminescence, and bulk spin-resonance. Additionally, he is using machine learning in image analysis techniques, such as compressive sensing and neural networks, to both optimize experimental implementations and analysis.