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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
FIZ 431INTRODUCTION TO QUANTUM COMPUTATION3 + 07th Semester4,5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective This course aims to give an introductory answer to the question “What are the ultimate physical limits to computation and communication?”.
Course Content Introduction and Overview, Introduction to Quantum Mechanics, Introduction to Computer Science, Quantum Circuits.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To learn the history of computer.
2To ovreview quantum mechanics.
3To learn some basics of quantum circuits.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
LO 001334    3 5
LO 002334    3 5
LO 003334    3 5
Sub Total9912    9 15
Contribution3340000305

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)14228
Mid-terms12222
Final examination12525
Total Work Load

ECTS Credit of the Course






117

4,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2010-2011 Fall1MUZAFFER ADAK


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
FIZ 431 INTRODUCTION TO QUANTUM COMPUTATION 3 + 0 1 Turkish 2010-2011 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. MUZAFFER ADAK madak@pau.edu.tr Course location is not specified. %
Goals This course aims to give an introductory answer to the question “What are the ultimate physical limits to computation and communication?”.
Content Introduction and Overview, Introduction to Quantum Mechanics, Introduction to Computer Science, Quantum Circuits.
Topics
WeeksTopics
1 Fundamental concepts, Global persvectives, History of quantum computation
2 Quantum bits, Single qubit gates
3 Multiple qubit gates, Quantum circuits, Examples
4 Classical computations on a quantum computer, Quantum algorithms
5 Introduction to quantum mechanics, Linear algebra
6 Adjoints and Hermitian operators, Operator functions
7 The postulates of quantum mechanics, Quantum measurements
8 Midterm
9 Composite systems, The density operator
10 Ensambles of quantum states, EPR and the Bell inequalities
11 Introduction to computer science, Turing machines, Circuits
12 How to quantify computational problems, Computational complexity
13 A plethora of complexity classes, Energy and computation
14 Perspectives on computer science
Materials
Materials are not specified.
Resources
Course Assessment
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes