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Course Description

In the eight-week course in Quantum Science, Networking, and Communications, participants will learn the fundamentals of quantum computing and communications and gain new skills through technical hands-on experience, demonstrations, and simulations in a virtual setting. This program features weekly live sessions with the instructors and office hours with teaching assistants to support students and provide feedback on homework activities.

Upon successful completion, students will have learned how to apply all the components of the course in the simulation of a multi-node quantum network.

Live Synchronous Sessions

Every Tuesday and Thursday from 7:00 p.m. to 8:00 p.m. CST, starting October 10, 2023. The final live synchronous session is on November 30, and all required homework activities and assignments are due by December 10, 2023.

Required Screening Process

By submitting your interest to enroll in this course, you are consenting to a required screening process to ensure your course eligibility per U.S. export control laws. Once this review has been completed, you will receive an update on your enrollment status informing you of next steps. Please allow 5-7 business days to complete this step.


Enrollment Deadline is October 5


Contact us

Our team is ready to discuss the course and answer your questions regarding our registration process.

Email the Quantum Admissions Team


Notes

The University of Chicago reserves the right to remove and refund registrants who do not meet the compliance requirements necessary to participate in this course. All students must be screened in adherence to U.S. export control laws, which govern the transfer or disclosure of goods, technology, software, services, and funds originating in the United States to persons or entities in foreign countries OR to non-U.S. persons, even if located in the United States.

Prerequisites

To be successful in this course, we strongly recommend a bachelor's degree in math, physics, statistics, electrical and computer engineering, or computer science. Additionally, the following competencies are recommended to complete the homework activities:

  • Linear algebra: Able to perform matrix operations including addition, subtraction, and multiplication. Participants should also know what eigenvectors are and be familiar with singular value decomposition.
  • Probability theory: Able to calculate conditional probabilities.
  • Python programming: Able to use Jupyter notebooks to read, understand, and write simple programs in Python.
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Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry so that we may promptly notify you when enrollment opens.
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