United States

Since the passing of the National Quantum Initiative Act in December 2018, there has been great interest from business, academia, and the general public in the quantum industry. Faculty at higher-education institutes, mainly in physics, engineering, and computer science departments have been struggling with the question of how to adapt their courses to meet the demands of students interested in this exciting new field, ensuring that the content delivered would be relevant to possible future careers, whilst also maintaining academic relevance. Results from an interview study of 21 companies in the quantum industry will be presented, illustrating the skills and knowledge present in the workforce of the quantum industry; how those skills and knowledge relate to existing courses and training; and where there are opportunities for new and innovative course development.

AAPT SM 20

Preparing for the quantum revolution - what is the role of higher education?

workforce development

quantum industry

**BQIT is a three day annual workshop** aimed at enabling leading UK and international academics and industrial partners to come together; to explore and discuss future ambitions and challenges in the field of **Quantum Information Technologies.** Since our conception in 2014 we have had 230 speakers and panellists who have presented their work and opinions on a range of topics, from quantum theory to innovation in industry.


### Welcome Message
The BQIT:21 team welcomes you to the eighth Bristol Quantum Information Technologies workshop! 

Last year was the first time in our workshop's history that we had gone fully virtual. The global circumstances that continue to impact us all professionally and personally have forced BQIT once again to be delivered as an all-virtual workshop for 2021. The access this creates to colleagues across the world who would otherwise be unable to join us, as well as being able to make the workshop free for all attendees due to the lower costs involved in delivering an online workshop, are just a couple of the extraordinary benefits of meeting online. This also means that we can welcome three times as many attendees to BQIT than previous years.   

We take this opportunity to thank each of our speakers and poster presenters for contributing their technical content, this year's sponsors, whose support this year enabled BQIT:21 to be free to all attendees, and to all of our attendees for joining us online this year. We recognise the extra energy required to stay connected and motivated during these difficult times, and are hugely encouraged to see so many of you willing to continue to connect with us on an online platform. 

It is our hope that you have a productive and enjoyable time while you engage and interact with BQIT:21, and to everyone that has helped take BQIT:21 online, thank you! 

**The BQIT board and organisation team **


![](https://assets.underline.io/uploads/markdown_image/1/image/a12e0c1ad3410144cb48557690e4ecaf.png)
### This year's workshop agenda is available here: [Virtual BQIT:21](https://drive.google.com/file/d/1QwsSM0ztnxC_lgUKf3TbO3GvnI44AQkY/view?usp=sharing)
For further information, please contact us at: **bqit-admin@bristol.ac.uk**

![](https://assets.underline.io/uploads/markdown_image/1/image/a12e0c1ad3410144cb48557690e4ecaf.png)

Bristol Quantum Information Technologies Workshop

technical paper

The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. The program featured plenary speakers, sessions, workshops and many special activities.

For more information please visit the 2020 AAPT Virtual Summer Meeting page at: https://www.aapt.org/Conferences/SM2020/index.cfm.


The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. 

Representing a state in an observable’s eigenbasis encodes probabilities for measurement outcomes and facilitates computation of useful quantities such as expectation values. Converting state vectors between bases is therefore a key skill for students in quantum mechanics. Our research in upper-division quantum mechanics courses at three diverse institutions investigates student understanding of basis and change-of-basis in the context of spin-1/2 systems. Our investigation focuses on procedural and conceptual written questions as well as student reasoning interviews. We identify the range of methods students employ when changing basis, illuminate student understanding of the structure and meaning of a basis expansion, enumerate student ideas about whether and how changing basis affects the state, and examine how students perceive notation as indicative of choice of basis. Together, these results paint a broad qualitative picture of the various ways students grapple with basis and change-of-basis, with potential implications for instruction.

Spanning the space of student ideas on change-of-basis in quantum mechanics

The discovery of bio-molecules in meteorites with an excess of one chiral state has created one of the biggest questions in science today. That is, what is the origin of bio-molecular homochirality? Studies of this question are highly interdisciplinary, and while several phenomenological models exist, we examine the relationship between fundamental symmetries at the particle level and the macroscopic formation of bio-molecules. A model has been developed which couples fundamental interactions with the formation of molecular chirality. In this magneto-chiral model atomic nuclei bound in amino acids interact via the weak interaction in stellar environments. Nuclei are coupled to the molecular geometry (chirality) via the shielding tensor – the same interaction responsible for NMR identification. Interactions with leptons can then selectively destroy one chiral state over the other. Possible sites are proposed in which this model may exist. It may be possible to test the formation of chiral bio-molecules in space in a polarized electron beam experiment. Such an experiment will be discussed along with several problems and questions associated with it.

Astrobiology: Formation and Processing of Amino Acids in Space

Recently, machine learning algorithms, primarily random forests, have been used to identify students at risk of failing introductory physics. While these algorithms produced excellent accuracy when identifying students who would receive an “A” or “B” in a physics class, the performance was much worse when identifying students who would receive a “D” or “F”. This work investigates multiple pathways to optimize the algorithms to improve performance including using alternate algorithms such as support vector machines, optimization algorithms such as gradient boosting and regularization, and ensemble algorithms which allow multiple different algorithms to vote on the results. This work seeks to identify the limit of accurate prediction with only institutional variables.

Optimizing Machine Learning to Identify At-Risk Physics Students

Earning a bachelor's degree is expensive and time-consuming. Many undergraduate students pursue Advanced Placement (AP) courses in high school or transfer coursework from degree-granting institutions. However, the effect of those transfer courses on the time that it takes students to graduate (time-to-degree) is currently not well understood. We have investigated how incoming transfer courses impact students’ time-to-degree by defining three independent groups of transfer students: (1) those entering with college level transfer courses, (2) those with only AP level transfer courses, and (3) those without any transfer credit. The time-to-degree has been shown to be statistically different for each of these groups, with students who enter with college level transfer courses graduating the earliest. We have explored differences in time-to-degree for various demographic information (e.g. gender, race/ethnicity). In this presentation, we will discuss these results in addition to the results from regression models that predict a student’s time-to-degree.

Analyzing Time-to-Degree for Transfer Students at Michigan State University

Physics education research on student understanding of kinematics has largely focused on misconceptions and difficulties. Our project reports student resources for understanding kinematics -- ideas that we consider to be the “beginnings” of sophisticated understandings. Our preliminary analysis highlighted four common resources that students are using to solve kinematics problems. In this talk, we will elaborate on the resources used most often by students and give examples from our preliminary research.

Identifying student resources for understanding kinematics

This study examines the predictive power of different parameters on FMCE (Force and Motion Conceptual Evaluation) pretest score. The sample consists of students attending a large eastern land-grant university in the US enrolled in the introductory calculus-based mechanics class (N=2457). A variety of parameters were used to predict FMCE pretest score including gender, underrepresented minority status, first-generation status, high school GPA, college GPA, ACT/SAT score, college math entry level, AP classes taken, transfer credits, class standing, prerequisite course grade, and college credits completed. Correlation analysis and linear regression were used to understand relations between the variables. Several parameters were statistically significant explaining the variation of FMCE pretest score including AP classes taken, class standing, and calculus-readiness.

What does the Force and Motion Conceptual Evaluation pretest measure?

Thermal physics encompasses thermodynamics and statistical mechanics content and is a core upper-division course requirement for most physics degrees. Thus, in order to improve student outcomes in these courses, it is important for both educators and researchers to have a validated method of evaluating student understanding of upper-division thermal physics content. For an assessment like this to be useful, it is crucial that the assessment tool can be both easily implemented and easily scored. In this presentation, we discuss a multiple response upper-division thermal physics assessment that was distributed in an online format in the Spring of 2020. The development of multiple choice and coupled, multiple response assessment items and initial implementation of these items, including validation, will be discussed.

Initial Implementation of an Upper-Division Thermal Physics Assessment

Flat-earthism is one kind of science denial, and it asserts that scientists conspire with governments to keep secret the "fact" that the Earth is flat. Many scientists' attempts to disprove a flat Earth unfortunately cite evidence that is not easily accessible to a non-scientist. I have made a navigable 3D computational model of a popular U.S. flat-earthers' model of a flat Earth, which makes it possible to identify a number of naked-eye observations that strongly disagree with the predictions of the flat-earthers' own model. This is potentially useful because flat-earthers privilege naked-eye observations as the only valid kind of evidence. I will demonstrate the computational model, which is available at tinyurl.com/FEmodel.

A Flat Earth?

Periscope is a set of lessons that connects big questions of physics teaching and learning to authentic video episodes from best-practices physics classrooms. Periscope lessons are useful if you supervise learning assistants or teaching assistants, lead faculty development, seek to improve teaching in your department, or want to improve your own teaching. Periscope’s primary aim is to help STEM instructors see authentic teaching events the way an expert educator does – to develop their “professional vision” (C. Goodwin, American Anthropologist 96(3), 1994). This development of professional vision is particularly critical for educators in transformed STEM courses, who are expected to respond to students’ ideas and interactions as they unfold moment to moment. By watching and discussing authentic teaching events, instructors enrich their experience with noticing and interpreting student behavior; practice applying lessons learned about teaching to actual teaching situations; train to listen to and watch students in their own classrooms by having them practice on video episodes of students in other classrooms; observe, discuss, and reflect on teaching situations similar to their own; develop pedagogical content knowledge; get a view of other institutions’ transformed courses; and expand their vision of their own instructional improvement. Periscope is free to educators at physport.org/periscope.

Periscope: Looking into learning in best-practices physics classrooms

Wave optics is a difficult teaching topic that was up to now usually investigated on university students. In Croatia, this topic is compulsory for a significant fraction of high school students, aged 18-19 years. In 2018. we started a four-year research project that includes investigation of high school students' difficulties with wave optics, construction of a new diagnostic instrument (Conceptual Test on Wave Optics), and development and testing of an experimental teaching sequence on wave optics. The final goal of the project is to investigate the effect of the new teaching approach, which includes several students' investigative experiments, on students' conceptual understanding of wave optics and on their scientific reasoning. Some preliminary results of the project will be presented, including findings from the 27 semi-structured interviews and from the process of the CTWO development. The most frequent students' conceptual difficulties regarding interference, diffraction and polarization of light will be discussed.

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