PHYS455 INTRODUCTION TO QUANTUM INFORMATION THEORY
| Course Code: | 2300455 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Physics |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | |
| Offered Semester: | Fall Semesters. |
Course Objectives
At the end of the semester, the students will have a basic understanding of what quantum information is, how it is processed, and in what respects it is different from classical information and its processing. They will also learn about key applications like quantum key distribution and simple quantum algorithms. In addition to these, the students will also learn about the EPR paradox, concept of entanglement, local realism and Bell inequalities, and ontextuality.
Course Content
An overview of quantum information. A review of classical information theory. Foundations of quantum mechanics from a quantum information point of view. Quantum entanglement and its uses. Entropy.
Course Learning Outcomes
At the end of the semester, the students should be able to
(1) describe what enrtanglement is and comprehend its conceptial difficulties e.g., EPR paradox,
(2) understand what local realism is and derive Bell inequalities,
(3) describe contextuality and Kochen-Specker theorem, demonstrate "quantum contextuality",
(4) understand no-cloning and no-communication theorems,
(5) use density matrices, and reduced density matrices; describe measurement process for a many component system,
(6) understand both BB84 and E92 quantum key distribution protocols
(7) know a few simple quantum algorithms (Deustch-Josza, Grover, period finding) and understand the advantage provided by quantum information processing,
(8) understand teleportation and dense coding,
(9) understand quantum circuit model of quantum computation.
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | Can understand, model and analyze the fundamental physical processes of nature. | ✔ | |||
| 2 | Can suggest mathematical models to problems they face and solve them by various (approximate/analytical/numerical) approaches. | ✔ | |||
| 3 | Can use basic measurement devices; can choose and apply the best measurement technique. | ✔ | |||
| 4 | Can adequately record their observations, e.g., in a lab book. | ✔ | |||
| 5 | Can design and carry out experiments. | ✔ | |||
| 6 | Can access scientific information sources. | ✔ | |||
| 7 | Can critically analyze and contribute to scientific information. | ✔ | |||
| 8 | Can present scientific information clearly. | ✔ | |||
| 9 | Can analyze systems that contain probabilistic parts; can do error analysis. | ✔ | |||
| 10 | Has the basic programming skills; can solve a simple physical problem or can simulate one with an appropriate language they choose. | ✔ | |||
| 11 | Can actively and skillfully conceptualize, apply, analyze, synthesize and evaluate information. | ✔ | |||
| 12 | Can produce new ideas and products by using their background in physics. | ✔ | |||
| 13 | Can systematically design, evaluate, and implement a strategy to respond to an existing problem. | ✔ | |||
| 14 | Is effective in oral and written communication skills by using both Turkish and English languages. | ✔ | |||
| 15 | Can do leadership and take initiative. | ✔ | |||
| 16 | Tries to find physics based solutions to the problems of the world that we live in. | ✔ | |||
| 17 | Obeys the ethical rules in the workplace and the society and ascertains that they are obeyed by others. | ✔ | |||
| 18 | Can use the digital communication and computation tools in the most efficient and effective way. | ✔ | |||
| 19 | Can effectively use the knowledge and skills they gained in physics, in observing, analyzing, modeling and solving other societal problems. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution