Computer Science 692QA - S-Quantum & Artificial Intel

Open to COMPSCI, ECE, MATH, and PHYSICS graduate students. While this course has no formal prerequisites, following the seminar will require some familiarity with modern ai methods and some familiarity with quantum information science. For ai background, it would be sufficient to understand the material in any machine learning course (e.g. any of compsci 589 or 689 or similar). For quantum information science, it would be sufficient to understand the first four lectures from scott aaronson's lecture notes: https://www.scottaaronson.com/qclec.pdf. The first lecture of the seminar will include a quick onboarding to qis and students will be given an optional exercise set to judge their understanding. Self-study resources and suggested papers for presentation during the seminar will be available in the syllabus before the first lecture. Students needing special permission must request overrides via the on-line form: https://www.cics.umass.edu/academics/course-overrides.