| School/Faculty/Institute | Graduate School | ||||
| Course Code | ITC 535 | ||||
| Course Title in English | Quantum Computing | ||||
| Course Title in Turkish | Quantum Computing | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Intermediate | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 183 hours per semester | ||||
| Number of Credits | 7.5 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Expected Prior Knowledge | Linear Algebra, Basic Probability | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only graduate Students | ||||
| Overall Educational Objective | To learn the fundamentals of quantum computation and quantum-related concepts including superposition, entanglement and quantum teleportation. The course will review and compare classical computation against quantum computation with examples. Towards the end of the course, we shall provide some quantum algorithms and future trends. In addition, some the philosophical questions and the impact of quantum computing will be discussed. | ||||
| Course Description | This course covers the fundamentals of quantum computation. Topics include the postulates of quantum mechanics, quantum computation model, superposition, entanglement, measurement, quantum teleportation, super-dense coding, quantum error correction and quantum algorithms. | ||||
| Course Description in Turkish | Bu ders kuantum hesaplamanın temellerini ve süperpozisyon, dolaşıklık ve kuantum taşınması (ışınlanma) gibi kuantumla ilgili kavramları içermektedir. Bu ders klasik ve kuantum hesaplamayı örnekler ile karşılaştıracaktır. Dersin sonuna doğru bazı kuantum algoritmaları ve gelecekteki trendlerden bahsedilecektir. Ek olarak, bazı felsefik sorular ve kuantum hesaplamanın etkisi gibi konular tartışılacaktır. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Learn the fundamental principles of quantum computing 2) Learn the fundamental principles of quantum circuits 3) Apply quantum circuits/algorithms to solve some of the hard problems 4) Learn other application areas of quantum technology |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| 1) An ability to develop and deepen their knowledge in the field of Information Technologies at the level of expertise based on their undergraduate level qualifications. | ||||
| 2) An ability to apply scientific and practical knowledge in statistics, computing and computer science. | ||||
| 3) A Comprehensive knowledge of analysis and modeling methods and their limitations. | ||||
| 4) An ability to design and apply analytical, modeling and experimental H 2 based researches, analyzes and interprets complex situations encountered in this process. | ||||
| 5) An ability to transmit the process and results of the work of information systems systematically and clearly in written and oral form in national and international environments. | ||||
| 6) An understanding of data collection, processing, use, interpretation and social, scientific and ethical values in all professional and professional activities. | ||||
| 7) An ability to take a leadership position in multi-disciplinary teams, develop information-based solution approaches in complex situations and to take responsibility. | ||||
| 8) An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context. | ||||
| 9) An ability to communicate verbally and in writing in English at least at the level of B2 of CEFR. | ||||
| 10) An understanding the social and environmental aspects of IT applications. |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | An ability to develop and deepen their knowledge in the field of Information Technologies at the level of expertise based on their undergraduate level qualifications. | N | |
| 2) | An ability to apply scientific and practical knowledge in statistics, computing and computer science. | N | |
| 3) | A Comprehensive knowledge of analysis and modeling methods and their limitations. | N | |
| 4) | An ability to design and apply analytical, modeling and experimental H 2 based researches, analyzes and interprets complex situations encountered in this process. | N | |
| 5) | An ability to transmit the process and results of the work of information systems systematically and clearly in written and oral form in national and international environments. | N | |
| 6) | An understanding of data collection, processing, use, interpretation and social, scientific and ethical values in all professional and professional activities. | N | |
| 7) | An ability to take a leadership position in multi-disciplinary teams, develop information-based solution approaches in complex situations and to take responsibility. | N | |
| 8) | An understanding of the impact of engineering solutions in a global, economic, environmental, and societal context. | N | |
| 9) | An ability to communicate verbally and in writing in English at least at the level of B2 of CEFR. | N | |
| 10) | An understanding the social and environmental aspects of IT applications. | N |
| Prepared by and Date | , |
| Course Coordinator | TUNA ÇAKAR |
| Semester | Fall |
| Name of Instructor |
| Week | Subject |
| 1) | Introduction to Quantum Computing: Spin, photon, polarization |
| 2) | Postulates of Quantum Mechanics & linear algebra overview |
| 3) | Simple quantum computation model, qubit, quantum states (Ket notation), superposition, normalisation |
| 4) | Measurement of Quantum states |
| 5) | Classical Gates/Circuits and Reversible circuits |
| 6) | Quantum logic gates: CNOT and Hadamard gates. |
| 7) | Universality, Unitary matrices, Phase change, rotation and Pauli gates: IXYZ gates. |
| 8) | Quantum Entanglement and Bell’s inequality. |
| 9) | No Cloning Theorem and Implications |
| 10) | Quantum Circuits: The Bell Circuit. |
| 11) | Superdense coding and Quantum Teleportation |
| 12) | Simple Quantum Error Correction |
| 13) | Quantum Algorithms: Deutch’s Algorithm, Deutsch-Jozsa Algorithm, Simon’s Algorithm. |
| 14) | The Impact of Quantum computing and future use cases. |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Kaye, Phillip, Raymond Laflamme, and Michele Mosca. An Introduction to Quantum Computing. Oxford University Press, 2007. (available online) | ||||||||||||
| Teaching Methods | Flipped Classroom | ||||||||||||
| Homework and Projects | Assignments and a Final Exam | ||||||||||||
| Laboratory Work | None | ||||||||||||
| Computer Use | Required | ||||||||||||
| Other Activities | None | ||||||||||||
| Assessment Methods |
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| Course Administration |
Academic dishonesty and plagiarism will be subject to Law on Higher Education Article 54. |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 3 | 2 | 98 | ||
| Homework Assignments | 6 | 8 | 1 | 54 | |||
| Final Examination | 1 | 28 | 2 | 1 | 31 | ||
| Total Workload | 183 | ||||||
| Total Workload/25 | 7.3 | ||||||
| ECTS | 7.5 | ||||||