Here is the course syllabus: https://apps.cs.utexas.edu/apps/sites/default/files/classes/syllabus/syllabus-fall2019.pdf https://apps.cs.utexas.edu/apps/sites/d

Here is the course syllabus: https://apps.cs.utexas.edu/apps/sites/default/files/classes/syllabus/syllabus-fall2019.pdf https://apps.cs.utexas.edu/apps/sites/default/files/classes/... There course lecture notes were linked to in the blog post, but also: https://www.scottaaronson.com/qclec.pdf https://www.scottaaronson.com/qclec.pdf This is a first course in quantum computing, and doesn't require a background in physics. For what it is, it certainly looks like challenging course, though. University of Texas at Austin must have some good students. Still, a lot (a majority) of the exam questions were "word problems", or problems where you take a short mathematical step, based on you being familiar with the concepts and definitions. In short, the type of problems where GPT's pattern matching and filling does well. For the few problems where a longer calculation (actually solving a math/physics problem) was required, GPT performed poorly.