Capturing expert mental models of quantum sensing using concept maps

Capturing expert knowledge is a common approach in domains that are not yet well mapped out or lack an established body of canonical knowledge.As the need to develop the quantum information science and engineering (QISE) workforce grows, we need to equip students with necessary quantum technology competencies and skills.Quantum sensing receives far less focus in existing curricula compared to quantum computing and communication.There are no standard textbooks, structured curriculum, or established conceptual frameworks for understanding quantum sensing.To address this gap, curriculum developers can draw on the knowledge of experts actively working in the field.This paper presents a methodology for eliciting expert knowledge through semi-structured interviews with a concept mapping activity.We detail the process from participant recruitment to the analysis of the resulting concept maps.Through this approach, we were able to identify detailed mental models of experts on specific quantum sensing protocols.The insights gained from this work will directly inform the development of quantum sensing curriculum and this methodology will be useful for educators and curriculum designers.