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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 465QUANTUM COMPUTATION3 + 08th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective . To learn the mathematical fundamentals of quantum computation in terms of complex vector algebra. 2. To gain the ability constructing the components of quantum algorithms, to devise quantum algorithms. 3. To understand the supremacy of the quantum algorithms over the classical counterparts 4. To learn the quantum communication channels their applications for quantum information. 5. To gain the ability coding the algorithms numerically and calculating the fidelity of the algorithms as well as the quantum channels. 6. To gain information about the physical realization of quantum computers.
Course Content Essential Linear Algebra . Complex matrix algebra . State vector . Density matrix . Quantum operators . Postulates of quantum mechanics . Quantum computational complexity . Quantum algorithm components . Deutsch-Jozsa algorithm . Quantum Fourier Transform algorithm . Quantum search (Grover) algorithm . Quantum order finding algorithm . Quantum teleportation . Quantum dense coding . Quantum error correction . Quantum secure communication . Quantum key distribution . Physical realization of quantum computers
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learning the mathematical foundations of quantum computing
2Have the ability to create quantum algorithms
3Ability to code and implement quantum algorithms or quantum channels

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
LO 003            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)10550
Mid-terms11313
Final examination12525
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes