Quantum Computation and Quantum Information (PHYS 484)

2019 Spring
Faculty of Engineering and Natural Sciences
Physics(PHYS)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Mehmet Zafer Gedik gedik@sabanciuniv.edu,
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English
Undergraduate
--
Formal lecture
Discussion based learning
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CONTENT

Introduction to quantum mechanics, quantum information, quantum cryptography, teleportation, quantum computation, quantum algorithms, error and error correction, quantum computers.

OBJECTIVE

After a brief introduction to quantum mechanics basic ideas of quantum computation and quantum information are presented so that students can follow the new developments in the field.

LEARNING OUTCOME

The student will be able to write down simple quantum algorithms and design quantum circuits to solve specific problems.

PROGRAMME OUTCOMES


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 4

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 4


1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 4

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 4

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 2

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 2

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 2


1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 5

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 3

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 2


1. Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 5

2. Demonstrate knowledge of discrete mathematics and data structures. 5

3. Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 5

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 25
Midterm 25
Written Report 10
Presentation 15
Homework 25

RECOMENDED or REQUIRED READINGS

Textbook

M.A. Nielsen and I.L. Chuang, Quantum Computation and Quantum Information, (Cambridge, 2000).