Language of Instruction

English

Level of Course Unit

First Cycle

Department / Program

MATHEMATICS

Mode of Delivery

Face to Face

Type of Course Unit

Elective

Objectives of the Course

Quantum computation and information is a new and rapidly developing field. This course is a concise introduction to quantum computation, developing the basic elements of this new branch of computational theory . The course intended primarily for mathematics, physics, engineering and computer science students. No prior knowledge either of quantum mechanics or of classical computation is required.

Course Content

After providing the necessary background material in classical computation and quantum mechanics, the basic principles will be developed and the main results of quantum computation and information will be discussed.
Introduction to Classical Computation: The Turing machine. The circuit model of computation. Computational complexity. Energy and information. Reversible computation.
Introduction to Quantum Mechanics: The SternGerlach experiment. Young’s doublesplit experiment. Linear vector spaces. The postulates of quantum mechanics. The EPR paradox and Bell’s inequalities.
Quantum Computation.
Quantum Communication: The nocloning theorem. Fasterthanlight transmission of information. Quantum teleportation.

Course Methods and Techniques


Prerequisites and corequisities

None

Course Coordinator

None

Name of Lecturers

Prof.Dr. OKTAY PASHAEV

Assistants

None

Work Placement(s)

No

Recommended or Required Reading
Resources

G. Benenti, G. Casati and G. Strini. Principles of Quantum Computation and Information, Vol. 1: Basic Concepts. David Mermin, Quantum Computer Science, An Introduction, Cambridge University Press, 2007 Nielsen Chuang and Isaac Chuang, Introduction to Quantun Computation and Information.









