HOUSECS 59-01
Intro to Applied Quantum Computing
A topic section of HOUSECS 59, House Course
Kenneth R. Brown
Description from DukeHub
Special topics course. Information about specific sections available in course synopsis. For more about House Courses, visit the following website: https://trinity.duke.edu/house-courses. Satisfactory/Unsatisfactory grading only.
Skills
No skill passed the confidence bar. Weak matches go to review instead of this page: an AI pass that has to quote the description, then a person.
AI-resilient: 0 of 5
- No: Physical, lab or field work
- No: Live work with people
- No: Judgment someone is accountable for
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
More in HOUSECS
- NeetCode 75: Algorithmic Thinking HOUSECS 59-02
- Foundations of Research HOUSECS 59-03
- Food Memory & Aging Brain HOUSECS 59-04
- Urban Studies 101 HOUSECS 59-05
- Culinary Medicine HOUSECS 59-06
- Transforming U.S. Healthcare HOUSECS 59-07