Our theory efforts provide the conceptual and computational framework that guides QCoR’s experimental programs. By interpreting measurements, identifying performance limits, and proposing new device and architecture concepts, we help translate experimental observations into physical understanding and actionable design insights for next-generation qubit systems.
Modeling and simulation: We develop analytical models and numerical simulations to study qubit dynamics, noise processes, and control protocols, enabling quantitative comparison with experiments and helping identify key parameters that govern performance.
Data interpretation and experiment partnership: Working closely with experimental teams, we analyze measurements to uncover underlying mechanisms and resolve open questions, ensuring rapid feedback between theory and experiment.
Multi-qubit interactions and emergent behavior: A major focus is understanding how qubit properties evolve in the presence of neighboring devices, including coupling, crosstalk, and collective effects that influence scalability and processor design.
Information spreading measured with out-of-time-ordered correlators in a 3×3 qubit array shows state-dependent propagation consistent with many-body localization; experiment conceived and modeled with LPS theory support. (Nature Physics 18, 172, 2022)