Presentation
Late Breaking Results: Q-STEP: A Cross-Layer Design and Validation Framework for Advancing Quantum Sensing
DescriptionQuantum sensing promises measurement sensitivities beyond classical limits, but the study of sensing protocols remains challenging due to limited access to specialized quantum sensing hardware. Existing approaches evaluate sensing protocols using either circuit-level simulations or physics-based sensor models, leaving a gap between protocol design and experimental validation. This work introduces Q-STEP, a cross-layer framework for systematically evaluating quantum sensing protocols using both reference models and experiment-oriented workflows. In Q-STEP, circuit-level simulations implemented in Qiskit generate a reference model that predicts the expected behavior of sensing sequences. Experimental sensing datasets are generated using the Qudi control framework and analyzed with physics-based NV center models in QuTiP and QuaCCAToo. Using this workflow, we evaluate Ramsey, Hahn echo, and CPMG sensing sequences and examine how coherence decay behavior observed in experiment-oriented datasets compares to circuit-level predictions. By enabling cross-layer validation between circuit-level models and physics-based sensor analysis, Q-STEP provides a structured methodology for validating quantum sensing protocols prior to deployment on quantum sensing platforms.
Event Type
Work in Progress
TimeMonday, July 276:27pm - 6:28pm PDT
LocationExhibit Hall