CENG473 Quantum Computer EngineeringIstanbul Okan UniversityDegree Programs Computer Engineering (English)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Computer Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: CENG473
Course Name: Quantum Computer Engineering
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 7
Language of instruction: EN
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Department Elective
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. BEKİR TEVFİK AKGÜN
Course Lecturer(s):
Course Assistants:

Course Objective and Content

Course Objectives: A. To explain quantum mechanics
B. Understand quantum algorithms and design a quantum logical circuit
C. Designs quantum cryptography and quantum communication systems and analyzing information security
Course Content: The aim of the Quantum Computer Engineering course is to introduce students to quantum mechanics, to teach the physical and information theoretical foundations of quantum computers, quantum algorithms, quantum cryptography and quantum communication.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) A. Explains quantum mechanics
2) B. Understand quantum algorithms and design a quantum logical circuit
3) C. Design quantum cryptography and quantum communication systems and analyze information security
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Introduction to Quantum Computer Engineering and Motivation Course notes
2) Introduction to Quantum Mechanics Course Notes
3) Introduction to Quantum Mechanics Course Notes
4) Introduction to Quantum Mechanics Course Notes
5) Introduction to Computer Science Course notes
6) Quantum Circuits Course notes
7) Quantum Noise and Quantum Operations Course notes
8) Midterm Course Notes
9) Distance Measures in Quantum Information Course notes
10) Quantum Error Correction Codes Course notes
11) Quantum Entropy and Quantum Information Course notes
12) Quantum Fouirer Transform and Applications Course Notes
13) Quantum Communication Engineering and Cryptography Course notes
14) Physical Realization Methods Course notes
15) Final Exam Course Notes

Sources

Course Notes / Textbooks: Quantum Computation and Quantum Information, Nielsen&Chuang, Cambridge Press.
http://www.amazon.com/dp/0521635039
References: Quantum Computation and Quantum Information, Nielsen&Chuang, Cambridge Press.
http://www.amazon.com/dp/0521635039

Course-Program Learning Outcome Relationship

Learning Outcomes

1

2

3

Program Outcomes
1) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
11) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Sufficient knowledge in mathematics, science and engineering related to their branches; the ability to apply theoretical and practical knowledge in these areas to model and solve engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. (Realistic constraints and conditions include such issues as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, according to the nature of design.)
4) Ability to develop, select and use modern techniques and tools necessary for engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyze and interpret results for examination of engineering problems.
6) The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
7) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge.
8) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
9) Professional and ethical responsibility.
10) Information on project management and practices in business life such as risk management and change management; awareness about entrepreneurship, innovation and sustainable development.
11) Information on the effects of engineering applications on health, environment and safety in the universal and social dimensions and the problems of the times; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Expression
Brainstorming/ Six tihnking hats
Individual study and homework
Project preparation

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework
Application

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Project 1 % 20
Midterms 1 % 30
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 15 3 45
Project 1 30 30
Midterms 1 30 30
Final 1 50 50
Total Workload 155