Information Package / Course Catalogue
An Introduction to Quantum Computing Algorithms
Course Code: FZK619
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

Investigation of quantum algorithms which operate on quantum computers.

Course Content

Quantum mechanical concepts. Fundamental concepts of quantum computations. Quantum algorithms. Quantum error-correcting codes.

Name of Lecturer(s)
Learning Outcomes
1.Students can use Dirac notation.
2.Students can define qubits and perfom some operations on qubits.
3.Students can perform operations on quantum gates.
4.Quantum circuit diagrams should be studied.
5.Students should conceive basic quantum algorithms.
6.Students can realize the fundamental concepts about quantum error-correting codes.
Recommended or Required Reading
1.An Introduction to Quantum Computing Algorithms, Arthur O. Pittenger.
2.Quantum Computation ad Quantum Information, Michael A. Nielsen, Isaac L. Chuang
3.Principles of Quantum Computation and Information Vol.I-II, Giuliano Benenti, Giulio Casati, and Giuliano Strini
4.Classical and Quantum Computing, Yorick Hardy and Willi-Hans Steeb
Weekly Detailed Course Contents
Week 1 - Theoretical
Overview on quantum mechanics.
Week 2 - Theoretical
Introduction to fundamental concepts of quantum mechanics.
Week 3 - Theoretical
Dirac notation and unitary transformations.
Week 4 - Theoretical
Fundamental concepts of quantum computations.
Week 5 - Theoretical
The basic strategy of quantum algorithms.
Week 6 - Theoretical
Investigation of the teleportation circuit.
Week 7 - Theoretical
Deutsch algorithm
Week 8 - Theoretical
Deutsch-Jozsa algorithm(Midterm Exam)
Week 9 - Theoretical
Simon algorithm
Week 10 - Theoretical
Grover algorithm
Week 11 - Theoretical
Shor algorithm
Week 12 - Theoretical
Quantum dynamics and decoherence
Week 13 - Theoretical
Quantum error-correction codes-I
Week 14 - Theoretical
Quantum error-correction codes-I
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment2%10
Quiz2%10
Midterm Examination1%30
Final Examination1%50
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Assignment224660
Quiz2104
Midterm Examination144347
Final Examination144347
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
5
4
4
3
2
3
2
3
OÇ-2
5
5
5
3
2
4
3
4
OÇ-3
5
5
5
3
2
3
3
4
OÇ-4
5
4
4
3
2
4
3
4
OÇ-5
5
5
5
3
2
4
5
5
OÇ-6
5
5
5
3
2
4
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026