COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Quantum Computation and Information Theory
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
PHYS 415
Fall/Spring
2
2
3
5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s) -
Assistant(s)
Course Objectives The main aim of this course is to provide a detailed introduction to the rapidly developing subject of quantum computation and quantum information theory, which plays a crucial role in the development of quantum information processing methods and devices.
Learning Outcomes The students who succeeded in this course;
  • will be able to utilize the basic mathematical tools required to describe and study quantum systems.
  • will recognize the central role of two-level systems (qubits) in the quantum computation and information theory.
  • will be able to discuss the quantum algorithms and their advantages as compared to the corresponding classical ones.
  • will be able discuss the behavior of the quantum systems under noise and the resultant phenomenon of quantum decoherence.
  • will develop an understanding of the concepts of quantum entanglement and more general quantum correlations, and their fundamental role in quantum information processing tasks.
Course Description In this course, we will cover the topics of two-level quantum systems, mathematical tools for the manipulation of two-level systems, quantum entanglement, quantum operations, operator-sum representation, quantum noise and decoherence, quantum teleportation, quantum algorithms, entropy and quantum information, quantum discord and general quantum correlations, quantum error correction and quantum cryptography.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to Quantum Mechanics Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 2.1-2.2)
2 Two-level Systems and Basic Mathematical Tools Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 2.4-2.6)
3 Fundamental Tools of Quantum Computation Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 1-2)
4 Quantum Entanglement Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 1-2)
5 Quantum Operations and Operator-Sum Representation Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 8.1-8.2)
6 Quantum Noise and Decoherence Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 8.3-8.4)
7 Review of the First Half of the Course
8 Quantum Teleportation and the Deutsch Algorithm Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 1.3-1.4)
9 Quantum Algorithms Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 4.1-4.6)
10 Entropy and Information Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 11)
11 Entanglement and General Quantum Correlations
12 Quantum Discord
13 Quantum Error Correction Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 10.1-10.3)
14 Quantum Cryptography Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge (Chapter 12.6)
15 Review of the Semester
16 Final Exam
Course Notes/Textbooks

Quantum Computation and Quantum Information, M.A. Nielsen and I.L. Chuang, Cambridge

Suggested Readings/Materials

Introduction to the Theory of Quantum Information Processing, János A. Bergou, Mark Hillery, Springer

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
5
20
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
7
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
16
2
32
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
20
Final Exams
1
24
    Total
140

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able master and use fundamental phenomenological and applied physical laws and applications,

X
2

To be able to identify the problems, analyze them and produce solutions based on scientific method,

X
3

To be able to collect necessary knowledge, able to model and self-improve in almost any area where physics is applicable and able to criticize and reestablish his/her developed models and solutions,

X
4

To be able to communicate his/her theoretical and technical knowledge both in detail to the experts and in a simple and understandable manner to the non-experts comfortably,

X
5

To be familiar with software used in area of physics extensively and able to actively use at least one of the advanced level programs in European Computer Usage License,

X
6

To be able to develop and apply projects in accordance with sensitivities of society and behave according to societies, scientific and ethical values in every stage of the project that he/she is part in,

7

To be able to evaluate every all stages effectively bestowed with universal knowledge and consciousness and has the necessary consciousness in the subject of quality governance,

8

To be able to master abstract ideas, to be able to connect with concreate events and carry out solutions, devising experiments and collecting data, to be able to analyze and comment the results,

X
9

To be able to refresh his/her gained knowledge and capabilities lifelong, have the consciousness to learn in his/her whole life,

X
10

To be able to conduct a study both solo and in a group, to be effective actively in every all stages of independent study, join in decision making stage, able to plan and conduct using time effectively.

X
11

To be able to collect data in the areas of Physics and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).

X
12

To be able to speak a second foreign at a medium level of fluency efficiently

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest