Program Overview

Quantum Computing, Master of Science (M.S.)

The Master of Science in Quantum Computing is a graduate program designed to provide students with a comprehensive understanding of the principles and applications of quantum computing.

Program Structure

The program consists of core courses and elective courses. The core courses include:

• MSQC601: Mathematics and Methods of Quantum Computing (3 credits)
• MSQC602: The Physics of Quantum Devices (3 credits)
• MSQC604: Quantum Computing Architectures and Algorithms (3 credits)
• MSQC605: Advanced Topics in Quantum Computing (3 credits)
• MSQC606: Practical Quantum Computing (3 credits)
• MSQC607: Advanced Topics in Quantum Computing (3 credits)

Elective Courses

Students are required to take 12 credits of elective courses, which include:

• MSQC603: Principles of Machine Learning
• MSQC610: Quantum Machine Learning (elective)
• MSQC611: Quantum Networks (elective)
• MSQC612: Quantum Computing Hardware (elective)
• MSQC613: Quantum Monte Carlo and Applications (elective)
• MSQC614: Quantum Information Theory (elective)
• MSQC615: Quantum Thermodynamics (elective)

Program Requirements

The total credits required for the program is 30.

Program Overview

The Master of Science in Quantum Computing is a comprehensive program that covers the principles and applications of quantum computing. The program is designed to provide students with a deep understanding of the subject matter and prepare them for careers in quantum computing and related fields.