| Course Type | Elective Course |
| Course Level | Bachelor's Degree |
| Year of Study | - |
| Semester | - |
| ECTS | 5 |
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Learn Quantum computer , quantum computing, quantum mechanics.
- Learn basic quantum computation.
- Learn quantum correlation.
- Learn Quantum Algorithms.
- Learn Quantum information.
|
| Mode of Delivery | Face to face |
| Prerequisites | No |
| Recommended Optional Programme Components | None |
| Course Description | 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 |
Quantum Mechanics, Deterministic Systems, Probabilistic Systems, Quantum Systems |
|
2nd Week |
Vector Spaces and Complex Numbers, Dirac Notation |
|
3rd Week |
Linear Operators, Norm, Orthonormality, Gram-Schmidt |
|
4th Week |
Scalar and Vector Product, Tensor Product, Pauli Matrices |
|
5th Week |
Qubits and Entanglement |
|
6th Week |
Observables and Measurements |
|
7th Week |
Density Matrices, Partial Trace, EPR Paradox |
|
8th Week |
MIDTERM EXAM |
|
9th Week |
Logic Gates and Quantum Circuits |
|
10th Week |
Quantum Fourier Transform (QFT) |
|
11th Week |
Deutsch Algorithm, Simon Algorithm |
|
12th Week |
Grover's Search Algorithm |
|
13th Week |
Shor Algorithm and Number Theory |
|
14th Week |
Quantum Error Correction, Quantum Noise Models |
|
15th Week |
Turing Machines, Probabilistic and Quantum Turing Machines |
|
| Recommended 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 Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
|
|
|
| Preparation for Quiz |
|
|
|
| Individual or group work |
|
|
|
| Preparation for Final exam |
|
|
|
| Course hours |
|
|
|
| Preparation for Midterm exam |
|
|
|
| Laboratory (including preparation) |
|
|
|
| Final exam |
|
|
|
| Homework |
|
|
|
| Total Work Load | 0 |
| Total Work Load / 30 (h) | 0 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
| Work Placement(s) | No |