Significant focus in the PER community has been paid to student reasoning in undergraduate quantum mechanics. However, these same topics have remained largely unexplored in the context of emerging interdisciplinary quantum information science (QIS) courses. We conducted 15 exploratory think-aloud interviews with students in an upper-division quantum computing course at a large R1 university cross-listed in the physics and computer science departments. Focusing on responses to one particular problem, we identify two notably consistent problem-solving strategies across students in the context of a particular interview prompt, which we term Naive Measurement Probabilities (NMP) and Virtual Quantum Computer (VQC), respectively. Operating from a resources framework, we interpret these strategies as choices of coherent (and potentially mutually-generative)sets of resources to employ and available actions to perform.

Investigating students’ strategies for interpreting quantum states in an upper-division quantum computing course

Research-based tutorials---worksheets that guide students in constructing physics knowledge for themselves---have repeatedly proven to be a highly effective complement to lectures in physics courses. Our collaboration has created a collection of tutorials for middle-division quantum mechanics (QM), which has been successfully adopted by QM instructors nationwide. However, many instructors lack the resources and/or institutional support to run tutorials; it can be difficult to find time, space, and personnel to facilitate these activities. As an alternative, we are developing online versions of our QM tutorials that students can work through without instructor facilitation. We are designing the online tutorials to guide students through the worksheets in ways that encourage sense-making and allow students to progress without revealing the answers. For example, they include adaptive guidance pathways based on students’ responses. Early beta versions are available, for free, at acephysics.net.

Online Tutorials for Middle-Division Quantum with Adaptive Guidance

As the field of Quantum Information Science (QIS) continues to advance, there is an increased need for a quantum-smart workforce to address the needs of the growing quantum industry. As institutions begin to expand their course offerings, there is a unique opportunity for discipline-based education researchers to have an impact on the curricular and pedagogical choices being made in these courses. As a first step, it is necessary for education researchers to have a representative picture of what QIS education currently looks like.

We reviewed recent course catalogues from a large sample of institutions in the United States looking for courses focused on QIS content. Our conservative analysis reveals that roughly a quarter of the institutions we reviewed offer QIS courses. While encouraging for such an emerging field, we found disparities in the types of institutions offering these courses as the vast majority were Doctoral-granting institutions. Additionally, we found that some classifications of minority serving institutions were much less likely to offer a QIS course (for example Historically Black Colleges and Universities or Predominantly Black Institutions), while Asian American and Native American Pacific Islander serving institutions were more likely than the national average to offer a QIS course. These disparities may lead to further racial, socioeconomic, and geographic disparity in the future quantum workforce. We also found that there was no single department that offered a majority of the QIS courses, indicating that the best efforts to improve QIS education will need to consider the multi-disciplinary nature of the field of quantum information science.

An Overview of Quantum Information Science Courses at US Institutions

Quantum information science (QIS) courses have, until now, rarely been a subject of study in the PER community, due in part to their interdisciplinary nature and relatively recent emergence as a widespread curricular topic. We surveyed 116 faculty identified as developing or having taught undergraduate or graduate QIS courses in the US. We have received 26 complete responses, a response rate of 22%. Faculty were asked to describe the structure of the course, as well as any observed student difficulties or identified instructional needs. We also collected basic demographic data such as class size and departmental affiliation. We report on the findings of this survey, with an emphasis on identifying core content areas as well as specific student and instructor difficulties. We expect these findings to be useful in guiding future efforts to develop curricular and/or assessment tools for QIS courses.

Gina Passante

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