Course Schedule and Catalog
Course Schedule - Spring Semester 2026
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
COMP 458 001 (CRN: 23185)
QUANTUM COMPUTING SYSTEMS
Long Title: QUANTUM COMPUTING SYSTEMS
Department: Computer Science
Instructor: Patel, Tirthak
Meeting: 4:00PM - 5:15PM TR (12-JAN-2026 - 24-APR-2026)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: COMP 382 AND (CAAM 335 OR CMOR 302 OR CMOR 303 OR MATH 221 OR MATH 355 OR MATH 354)
Section Max Enrollment: 50
Section Enrolled: 35
Total Cross-list Max Enrollment: 65
Total Cross-list Enrolled: 55
Enrollment data as of: 25-NOV-2025 3:46AM
Final Exam: No Final Exam
Description: Quantum computing is an emerging field with the potential to revolutionize various industries, including cryptography, scientific computation, optimization, and machine learning. Quantum Computing Algorithms is a course designed to introduce students to the foundations and practical implementations of quantum computing from a systems perspective to equip them for the evolving technological landscape. The course will first refresh students on the required mathematical concepts in linear algebra, probabilities, and statistics. Students will also learn about fundamental quantum principles, including superposition, entanglement, reversibility, interference, and circuits. The course will then delve into advanced quantum algorithms, especially variational and parameterized codes, including search, optimization, and machine learning, and error mitigation and correction concepts. Students will gain hands-on experience with Python-based quantum programming languages, Cirq, and Pennylane, to program current quantum computers. Mutually Exclusive: Cannot register for COMP 458 if student has credit for COMP 558. Cross-list: COMP 558. Mutually Exclusive: Cannot register for COMP 458 if student has credit for COMP 558.