CENG487 SPECIAL TOPICS IN COMPUTER ENGINEERING: INTRODUCTION TO QUANTUM COMPUTING
| Course Code: | 5710487 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 6.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. MURAT MANGUOĞLU |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
This course will contribute the following program educational objectives (PEOs) directly since it provides the students not only with a low level hardware point of view but also the principles of quantum algorithm design :
- Design, construct and operate software-intensive systems.
- Analyze problems from a computational viewpoint, propose algorithmic solutions, and implement them correctly and efficiently.
This course will also contribute the following PEOs indirectly with the algorithms studied throughout the course which have applications in industry and/or public institutions.
- Act conscientiously about the potentials and the responsibilities of the computing profession in the context of science, technology, society and humanity.
- Work in industry and government for the application of the information and communication technologies.
- Improve their knowledge and skills through lifelong learning and graduate studies
Course Content
Fundamental concepts in quantum computing; quantum mechanics for computer scientists; quantum circuits and quantum instruction set; quantum programming languages; quantum algorithms; error correction and fault tolerance.
Course Learning Outcomes
upon successful completion of the course, the students will
- Understand the basic operation principles of quantum computers
- Understand quantum circuits and instruction sets
- Differentiate the fundamental differences between classical and quantum computers
- Use quantum programming languages to implement algorithms
- Analyze and measure the performance of quantum algorithms
- Understand the sources of errors and how to correct them on quantum computers
- Design effective algorithms on quantum computers
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||