Credits: 3
Students will be exposed to the principles and applications of control theory and engineering to quantum settings. Concepts and algorithms of optimal open loop control, feedback and learning control, and geometric methods, will be brought to bear on finite and infinite dimensional quantum systems. Problems of decoherence and noise in quantum computing, and efficient state transfer in a broad range of quantum technologies will provide central motivation. Familiarity with linear algebra, ordinary differential equations, probability, and basic physics at the undergraduate level is assumed. The target audience for this course is advanced undergraduates and first year graduate students from engineering, physics, computer science, and mathematics.
Description
Course Prerequisites: Minimum grade of C- in ENEE290, or MATH246 and MATH461; minimum grade of C- in ENEE 322 or ENEE 323; and minimum grade of C- in ENEE324. Recommended corequisites: ENEE460 or ENEE660.Students will be exposed to the principles and applications of control theory and engineering to quantum settings. Concepts and algorithms of optimal open loop control, feedback and learning control, and geometric methods, will be brought to bear on finite and infinite dimensional quantum systems. Problems of decoherence and noise in quantum computing, and efficient state transfer in a broad range of quantum technologies will provide central motivation. Familiarity with linear algebra, ordinary differential equations, probability, and basic physics at the undergraduate level is assumed. The target audience for this course is advanced undergraduates and first year graduate students from engineering, physics, computer science, and mathematics.
Semesters Offered
Spring 2026
Testudo