Modern technology relies ubiquitously on control — the hidden science — (K. Åström) for robust performance. What new tools and perspectives are required to extend control methodology to quantum contexts?
When we think in terms of signals and systems, we layer information-theoretic abstractions onto physical dynamics. How can we best evolve this core practice to account for emergent properties of quantum dynamical systems?
Designing complex systems requires reliable modeling and simulation infrastructure, including CAD workflows based on proven underlying theory. Can we develop such tools for quantum engineering?
Collaborations / Organizations
Coherent Ising Machines NSF Expedition in Computer Science
NTT PHI Lab (Physics and Informatics Laboratories), NTT Research
Stanford/SLAC Q-Farm Initiative
Edward L. Ginzton Laboratory at Stanford University