CQN offered their first Winter School on Quantum Networks the first week of January 2023.
The goal of the Winter School is to provide introductory tutorials at all levels in topics that are new to the participants, who include CQN students, postdocs, faculty, CQN industry partners, other outside qualified persons (including students at non-CQN schools), and industry and government scientists.
Each course is co-developed and co-taught by two people – a lead instructor and a co-instructor. Co-instructors are graduate students and postdocs. This arrangement, based on a program developed a decade ago by Michael Raymer and Judith Eisen (The Science Literacy Program at University of Oregon, https://scilit.uoregon.edu), has two purposes: to mentor students who wish to learn best practices in teaching under the mentorship of an experienced instructor, and to improve the quality of the short course by adopting best practices in inquiry-based teaching with the active participation of the co-instructor.
Nine 3.5 hour courses will be offered requiring varying levels of background knowledge. Each is self-contained and you may attend any combination of courses you wish.
Below you will find a breakdown of the courses, as well as a description of the four (4) levels of background knowledge.
Courses:
| Course + Slides | Level | Instructors | |
| 1 | Physics behind quantum networks: A gentle introduction | 1, 2 | Dr. Michael Raymer and Abby Gookin |
| 2 | Optical networks for quantum networks | 1, 2 | Dr. Dan Kilper and Dr. Shelbi Jenkins |
| 3 | How to build a quantum network/ Hardware perspective | 1,2,3 | Dr. Ryan Camacho and Ian Brigg |
| 4 | How to build a quantum network/ Theory perspective | 2 | Dr. Don Towsley and Matheus Guedes de Andrade |
| 5 | Theory of quantum channels for quantum networks additional notes | 3, 4 | Dr. Quntao Zhuang and Dr. Anthony J. Brady |
| 6 | Information in a photon | 2, 3 | Dr. Saikat Guha and Dr. Christos Gagatsos |
| 7 | Classical and quantum error correction | 2 | Dr. Bane Vasic and Dr. Narayanan Rengaswamy |
| 8 | Software for modelling quantum networks | 2, 3 | Dr. Ines Montano and Jaime Diaz |
| 9 | Programmable photonics in quantum networks | 2 | Dr. Dirk Englund and CJ Xin |
Recordings can be found below, and on our YouTube channel
Course descriptions can be found here.
Levels of Background Knowledge:
Level 1: little or no quantum or math
Level 2: some UG quantum and math; or solid engineering background
Level 3: upper division UG or beginning graduate quantum
Level 4: graduate quantum
Suggested Sequences:
Sequence 1: All courses: 123456789
Sequence 2: Overview/experimental perspective 1 2 3 9
Sequence 3: How to build a quantum network 3 4 8 9
Sequence 4: Theory of photonic encoding for networks 5 6 7 (optional)
Program Leads
Michael Raymer
Knight Professor of Liberal Arts & Sciences
University of Oregon, Department of Physics
Brianna Moreno
Senior Coordinator
University of Arizona, Wyant College of Optical Sciences