Welcome,
Guest
.
Login
.
Türkçe
NİNOVA
COURSES
HELP
ABOUT
Where Am I:
Ninova
/
Courses
/
Faculty of Electrical and Electronic Engineering
/
ELK 336E
/
Course Informations
Return to Faculty
Home Page
Course Information
Course Weekly Lecture Plan
Course Evaluation Criteria
Course Information
Course Name
Turkish
Kuantum Hesaplama
English
Quantum Computation
Course Code
ELK 336E
Credit
Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester
2
3
3
-
-
Course Language
English
Course Coordinator
Deniz Türkpençe
Course Objectives
1. 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 Description
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
Course Outcomes
Students who pass this course will have the following skills and competencies:
1. Learning the mathematical basics of quantum computing
2. Having the ability to create quantum algorithms
3. Ability to encode and apply quantum algorithms or quantum channels
5. Having knowledge about the physical realization of quantum computers
Pre-requisite(s)
Required Facilities
Other
Textbook
Other References
Courses
.
Help
.
About
Ninova is an ITU Office of Information Technologies Product. © 2024