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Subject offerings of new and developing areas of knowledge in industrial engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: Approved for Letter and S/U grading. May be repeated in the same or separate terms if topics vary.

Course prerequisites: IE 410 or equivalent course on Stochastic Processes, IE 411 or equivalent course on Math Programming. Course description: This course introduces the mathematical foundations and practical applications of quantum computing. Students will develop a rigorous understanding of quantum mechanics as it applies to computation, and will explore both current quantum hardware and leading quantum algorithms relevant to optimization and machine learning? two domains of central importance in ISE. No prior background in quantum mechanics is assumed. The course is self-contained and designed to equip ISE students with the conceptual and computational tools needed to engage with. quantum approaches to complex engineering problems.