Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5512. Introduction to Quantum Computing

3.00 credits

Prerequisites: Recommended Preparation: CSE 3500, CSE 3502, and MATH 2420Q. Open to graduate students in the CSE program, others with permission. (RG 5146)

Grading Basis: Graded

Introduction to quantum computing, quantum algorithms, and quantum information theory. Quantum mechanics including elementary aspects of its mathematical formalism; quantum circuit model and quantum complexity theory; development and analysis of several fundamental quantum algorithms, focusing on Grover?s algorithm for database search and Shor?s number-theoretic algorithms. Second half covers the density matrix formalism of quantum mechanics, von Neumann entropy, quantum channels, and quantum error-correction. If time permits, some implementations of quantum computers and current progress will be discussed.


Last Refreshed: 30-OCT-20 05.20.18.831626 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2020 16361 Storrs In Person Krawec, Walter 001 Reg TuTh 3:30pm‑4:45pm
8/20 OAK 112 3.00 Graded