Our goals for this site are to provide adaptable resources to support faculty, including those very new to these topics, who wish to add some student-centered, research-based QIS instruction to your classes.
We have materials for two different audiences, depending on the type of course you teach.
QM Course: Are you teaching quantum mechanics in a physics department to (mostly) majors, and want to add a short unit on quantum information (e.g. quantum computing or cryptography) within your course?
And: if you teach undergraduate quantum mechanics to physics students and are looking for a suite of student-centered materials to help you with the entire QM course, please visit our Adaptable curricular materials for Quantum Mechanics site.
Who is this for? An instructor teaching Quantum Mechanics who would like to add some quantum information science topics to their physics course.
(Materials are suitable for faculty new to these topics.)
Topics: We have divided our materials into three main topical areas.
Each is standalone - materials can be taught without any prerequisite material from the other groups.
(Because of this, there are some duplicate materials across the groups.)
We do not intend for the materials to be used wholly as written. Rather, they form a complete set that a faculty member can pick and choose from as it fits their schedule, the material already taught, and the interests of both the faculty member and student.
The “instructional materials” found on this site include: lecture notes for faculty, concept tests, homework questions, online tutorials, and assessments.
Please use and adapt whatever is helpful to you, however it will most benefit your students. Please credit our work if you share your materials beyond your own classes. Please make an effort to keep assessment materials off the open web - alter questions for your students.
Curriculum designers Dr. Steven Pollock and Dr. Gina Passante have each taught this material in their classes. Feel free to download our lecture notes - we are happy for you to use whatever material works for your class.
Please email if you try our materials and have any feedback:
steven.pollock (at) colorado.edu or gpassante (at) fullerton.edu
CUB is a research-intensive public institution. I teach these materials in junior or senior-level undergraduate quantum mechanics courses, which currently all follow a spins-first curriculum (using McIntyre's Quantum Mechanics textbook.)
Each sequence below takes me one week. These are all taught in "large lecture" (75+ student) settings with three 50-minute lectures/week.
Please reach out if you have questions or feedback: steven.pollock (at) colorado.edu
CSUF is a primarily undergraduate, large, Hispanic-serving institution. I teach these materials in several of my quantum mechanics courses at the undergraduate and master's levels.
Feel free to reach out if you have questions (gpassante at fullerton dot edu).
Who is this for? These materials are for anyone teaching an introductory (first course in) quantum computing or quantum information science.
Why did we create these materials?
Why these topics? We focus on just a few fundamental ideas in QIS. Some students may find these materials too easy, while others may find them too hard. That is exactly the reason for their existence! The goal is to provide students with deep conceptual practice, allowing all students to reach a level of understanding that will set the foundation for future QIS learning.
What will you find here?
Content: Superposition states, single-qubit gates (X, Z, H, and I), Dirac and matrix notation, measurement probabilities, and single-qubit X, Z, H, and I gates.
Prerequisite knowledge: None. However, previous classroom introduction to basic ideas and notation of quantum states (including Dirac and matrix notation) is useful.
Faculty notes: See the first 4 entries in "Notes for Faculty" in our QIS for QM tab labeled "Qubits, Quantum Gates, ...": (1. Motivation, 2. Qubits, 3. Parts of a Computer, and 4. Quantum Gates)
Materials available:
Content: Practice with single-qubit gates represented as circuit diagrams
Prerequisite knowledge: Basic gates and quantum states. (This can all be found in the previous tutorial, "Introduction to Quantum Gates.")
Faculty notes: See the fifth entry under "Notes for Faculty" in our QIS for QM tab labeled "Qubits, Quantum Gates, ...": (5. Circuit Diagrams)
Materials available:
Content: Helping students describe systems with multiple qubits
Prerequisite knowledge: Students should be familiar with quantum states, basic single-qubit gates and circuit diagram conventions. (i.e., The sections above, on this page.)
Faculty notes: See the sixth entry under "Notes for Faculty" in our QIS for QM tab labeled "Qubits, Quantum Gates, ..." : (6. Tensor products of states and operators)
Materials available:
Content: An introduction to the controlled-NOT (CNOT) gate and the related concept of entanglement.
Prerequisite knowledge: Students should be familiar with quantum states, basic single-qubit gates and circuit diagram conventions, and the tensor product. (i.e., The previous sections on this page.)
Faculty notes: See entries 7-8 under "Notes for Faculty" in our QIS for QM tab labeled "Qubits, Quantum Gates, ...": (7. Definition of Entanglement and 8. Entangling gates/CNOT)
Materials available:
Content: This activity takes students through the BB84 quantum key distribution protocol. It uses quantum circuit notation and includes the effect of an eavesdropper.
Prerequisite knowledge: Basic single qubit gates (in particular, the Hadamard, H gate). Students should know how to predict probabilistic outcomes of measurements in the computational (Z) basis on superpositions of $|0\rangle, |1\rangle, |+\rangle, |-\rangle$ states.
Faculty notes: See the "Notes for Faculty" in our QIS for QM tab: Quantum Cryptography
Materials available:
What if I need help implementing active learning in my class?
Physport.org has some short guides to help you facilitate in-class tutorials, as well as to help you implement clicker questions in lectures effectively.)
We have developed a 20-question conceptual assessment that targets the introductory content in a quantum computing course (known as the QCCS). The survey is not designed to assess individual students but rather the course as a whole. The general content covered in the assessment includes mathematical foundations, superposition and measurement, quantum gates and circuit diagrams, and entanglement. The questions are conceptual in nature (not computational). Want to give the assessment to your students? |
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Figure: Aggregated results for 568 students in a beta test of the QCCS across 40 different courses. Averages for each course is shown below the histogram, we see wide variation across classes, populations and pedagogical approaches. |
We are PER research faculty teaching at very different institutions - different in class sizes and setups, student demographics, institutional research-focus - but all interested in helping introduce undergraduates to basic elements of Quantum Information Science. We have all taught a variety of quantum courses for many years.
The materials you will find here are not meant to be taken as givens, this is not a "fixed curriculum" that you are supposed to fully adopt (or reject). We hope that you will be inspired by some of the activities, notes, concept-tests, homeworks and more, and will borrow and adapt them for your own situation and students. We do not all use exactly the same materials ourselves.
We have borrowed where we can from PER literature on Quantum Mechanics (and tried - but apologize up front where we occasionally have failed - to appropriately credit the the hard development work of others!) We do not claim that these materials are "Research-validated" (they are still under development), but cheerfully present sometimes half-baked or partially-tested materials that we might argue are "research-based", a vaguer but perhaps more realistic description.
We welcome feedback and suggestions. If you make significant changes or additions, and particularly if you have classroom evidence that suggests it works well - let us know. We hope someday this site will be flexible enough to allow for community-sharing of new resources, and will work towards making that happen. (See contact information below.)
Gina Passante is an Associate Professor of Physics and Director of the Catalyst Center for the Advancement of Research in Teaching and Learning Math and Science at California State University Fullerton. She received her Ph.D. in quantum computing at the University of Waterloo before transitioning to Physics Education Research. Her research is focused on student learning of quantum mechanics and develops instruction materials for improving the teaching and learning of all things quantum. She can be reached at gpassante (at) fullerton.edu |
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Steve Pollock is a Physics professor at CU Boulder who has engaged in PER for 20+ years. He has a background in theoretical nuclear physics. He is an APS Fellow, and was named US Professor of the Year in 2013. Please email if you are interested in teaching materials for other courses (including middle division Classical Mechanics, E&M, and others) He can be reached at Steven.Pollock (at) Colorado.edu |
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Bethany Wilcox is a Physics professor at CU Boulder. Her PER work focuses on assessment at the upper division. Please email if you are interested in assessments in quantum, E&M and thermo./stat mech. She can be reached at Bethany.Wilcox (at) Colorado.edu |
We acknowledge the hard work of our students, including Josephine Meyer (University of Colorado Boulder), Jonan-Rohi Plueger (University of Colorado Boulder), and Bianca Cervantes (former California State University, Fullerton).
We are funded in part by NSF DUE- 2012147 and 2011958: Collaborative Research: Connecting Spins-First Quantum Mechanics Instruction to Quantum Information Science
PLEASE USE AND ADAPT whatever is helpful to you, however it will most benefit your students. Please credit our work if you share your materials beyond your own classes. Please make an effort to keep assessment materials off the open web - alter questions for your students.
©2022 University of Colorado Boulder
and California State University, Fullerton
Funded by the National Science Foundation
grants 2011958 and 2012147