At the end of this course, the students; 1) Learn Quantum computer , quantum computing, quantum mechanics. 2) Learn basic quantum computation. 3) Learn quantum correlation. 4) Learn Quantum Algorithms. 5) Learn Quantum information.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Introduction and overview: qubits and pieces. Bloch sphere. Quantum mechanical probabilities. Quantum behaviors. Quantum mechanics with applications to teleportation. Dense coding. Quantum computation: Classical computation. Shor's factorization algorithm, Grover's search algorithm. Quantum information: Classical information theory. Quantum cryptography. Error correction. Physical realizations: Ions in traps. Solid-state devices.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction and overview: qubits and pieces.
2nd Week
Bloch sphere.
3rd Week
Quantum mechanical probabilities.
4th Week
Quantum behaviors.
5th Week
Quantum mechanics with applications to teleportation.
6th Week
Dense coding.
7th Week
Quantum computation: Classical computation.
8th Week
Mid-term
9th Week
Shor's factorization algorithm,
10th Week
Grover's search algorithm.
11th Week
Quantum information: Classical information theory.
12th Week
Quantum cryptography.
13th Week
Error correction.
14th Week
Physical realizations: Ions in traps.Solid-state devices.
RECOMENDED OR REQUIRED READING
1- Kaye P., Laflamme R., Mosca M., An Introduction to Quantum Computing, Oxford Press,2007 2- Yanofsky N. S., Mannucci M. A., Quantum Computing for Computer Scientists, Cambridge Press,2008
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Problem Solving,Questions/Answers,Lecture
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
30
Quiz
5
30
Total(%)
60
Contribution of In-term Studies to Overall Grade(%)
60
Contribution of Final Examination to Overall Grade(%)
40
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
1,5
1,5
Preparation for Quiz
Individual or group work
Preparation for Final exam
1
20
20
Course hours
14
3
42
Preparation for Midterm exam
1
15
15
Laboratory (including preparation)
Final exam
1
1,5
1,5
Homework
Project
1
70
70
Quiz
4
,5
2
Total Workload
152
Total Workload / 30
5,06
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
