EEE5041 Quantum EngineeringBahçeşehir UniversityDegree Programs ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, NONTHESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementBologna CommissionNational Qualifications
ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, NONTHESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EEE5041 Quantum Engineering Fall
Spring
3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. ŞEREF KALEM
Course Objectives: The teaching in this course aims at establishing a good fundamental understanding of quantum engineering using quantum mechanical properties of qubits generated using photons, electrons, atoms, semiconductor quantum dots and superconducting circuits.

Learning Outcomes

The students who have succeeded in this course;
1. Learn the principles of quantum information processing;
2. Learn the qubit and how to manipulate a qubit;
3. Use quantum gates to control a qubit for information processing;
4. Explore a brief history of quantum information;
5. Design quantum circuits;
6. Learn quantum cryptography;
7. Learn the principle of quantum sensing and timing;
8. Learn the fundamentals of quantum computing;
9. Explore IBM universal quantum computer;
10. Learn quantum algorithms;
11. Practice quantum Fourier transform;
12. Design a project and run on IBM Q.

Course Content

General introduction, motivation and importance of Quantum Engineering. Fabrication of quantum information processing devices and processors.
Fundamentals (wave-particle duality, Heisenberg uncertainty principles,..) of quantum mechanics required for quantum engineering.
Fundamentals of quantum information processing.
Quantum operators and matrix mechanics.
Qubit: single photon, spin qubit, atom and superconducting circuits. Generation of a qubit and coherent quantum control.
Definition of universal quantum gates and their use in quantum information processing.
Fundamentals of quantum cryptography and secure communication protocols
Quantum sensing and timing
Understanding of quantum entanglement. Quantum circuits.
Fundamental principles of quantum computing and understanding of its exponential computing power
Quantum computing applications
Quantum Fourier transform
Quantum computers: state-of-the-art

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Selection of research topics. Read the Syllabus and project details Read the lecture notes
2) Read the lecture notes
3) Quantum computing versus classical computing. Read the previous lecture notes and practice exercises.
4) Ket and bra concepts, vectors, phases. Read the lecture notes and do exercises provided by the instructor.
5) Single photon, spin qubit, atom and superconducting circuits. Generation of a qubit and coherent quantum control Read the lecture notes and do exercises
6) Quantum information processing using qubits. Install Python 3.X.
7) Install Qiskit and use circuit composers Install Qiskit
8) Solving questions Solve questions for the midterm
9) Fundamentals of quantum cryptography and secure communication protocols. Revize the previous sections
9) Fundamentals of quantum cryptography and secure communication protocols. Revize the previous sections
10) Quantum sensing and timing Understanding of quantum entanglement. Quantum circuits. Repeat the previous section on qubit
11) Fundamental principles of quantum computing and understanding of its exponential computing power Revize the qubit operators
12) Quantum Fourier transform, quantum random number generators. Revize the quantum computing basics
13) Presentations; face to face Project reports are to be submitted well in advance before the day of presentation.
14) Review for the final exam Review of previous chapters and exercises

Sources

Course Notes / Textbooks: Textbook: Lecture Notes
IBM Qiskit programming tools


References: References:
D. Miller, Quantum Mechanics for Scientists and Engineers, Cambridge
MA Nielsen and IL Chuang, Quantum computation and Quantum Information

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 2 % 10
Presentation 1 % 10
Project 1 % 10
Seminar 1 % 10
Midterms 1 % 30
Final 1 % 30
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 2 28
Homework Assignments 1 20 20
Midterms 1 30 30
Final 1 30 30
Total Workload 150

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution