ECTS - Introduction to Quantum Computing
Introduction to Quantum Computing (CMPE456) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Introduction to Quantum Computing | CMPE456 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Drill and Practice, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | To equip students to have a clear understanding of how Quantum computers work and how to apply and develop algorithms to be executed on quantum computers. Students will be given the basics to understand quantum operations and briefly introduced to Quantum theory. Students will execute real Quantum programs on real and simulated Quantum computers, study topics about Quantum algorithms, architecture, programming languages, cryptography, hardware and present their studies in class. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | The features of the Quantum World, complex numbers, complex vector spaces, probabilistic and Quantum systems, basic Quantum Theory, Qubits, Quantum gates, Quantum algorithms, Quantum computing in theoretical computer science, introduction to Quantum cryptography, Introduction to Quantum information theory, Introduction to Quantum hardware. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Course Introduction, Introduction to Quantum World, Spin, Real-Life Quantum Experiment Quantum Computing for Everyone – Chapter 1 | Quantum Computing for Everyone – Chapter 1 |
| 2 | The Features of The Quantum World, Complex Numbers Course Book – Chapter 1 | Course Book – Chapter 1 |
| 3 | Complex Vector Spaces | Course Book – Chapter 2 |
| 4 | Probabilistic Systems, Quantum Systems | Course Book – Chapter 3 |
| 5 | Basic Quantum Theory | Course Book – Chapter 4 |
| 6 | Quantum Architecture: Qubits, Quantum Gates | Course Book – Chapter 5 |
| 7 | Midterm Exam | |
| 8 | Quantum Algorithms: Deutsch’s Algorithm, The Deutsch-Jozsa Algorithm | Course Book – Chapter 6 |
| 9 | Quantum Algorithms: Simon’s Periodicity Algorithm, Grover’s Search Algorithm | Course Book – Chapter 6 |
| 10 | Shor’s Factoring Algorithm, Programming in a Quantum World | Course Book – Chapter 6,7 |
| 11 | Deterministic, Nondeterministic, Probabilistic and Quantum Computations | Chapter 8 |
| 12 | Quantum Cryptography and Teleportation | Course Book – Chapter 9 |
| 13 | Quantum Information Theory and Error-Correcting Codes | Course Book – Chapter 10 |
| 14 | Quantum Hardware: Goals and Challenges | Course Book – Chapter 11 |
| 15 | Review | |
| 16 | Final Exam |
Sources
| Course Book | 1. Ders Kitabı Quantum Computing for Computer Scientists, Noson S. Yanofsky, and Mirco A. Mannucci, Publisher: Cambridge University Press, 2008. |
|---|---|
| Other Sources | 2. IBM Quantum Learning: https://learning.quantum.ibm.com/ |
| 3. Quantum Computation and Quantum Information, 10th Anniversary Edition, Michael A. Nielsen, and Isaac L. Chuang, Publisher: Cambridge University Press, December, 2010. | |
| 4. Quantum Computing for Everyone, Chris Bernhardt, Publisher: MIT Press, 2020. | |
| 5. Quantum Computing from the Ground Up, Riley Tipton Perry, 2012. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | 2 | 20 |
| Homework Assignments | - | - |
| Presentation | 1 | 20 |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 25 |
| Final Exam/Final Jury | 1 | 35 |
| Toplam | 5 | 100 |
| Percentage of Semester Work | 65 |
|---|---|
| Percentage of Final Work | 35 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Applies knowledge of mathematics, science, and engineering | |||||
| 2 | Designs and conducts experiments, analyzes and interprets experimental results. | |||||
| 3 | Designs a system, component, or process to meet specified requirements. | |||||
| 4 | Works effectively in interdisciplinary fields. | |||||
| 5 | Identifies, formulates, and solves engineering problems. | |||||
| 6 | Has awareness of professional and ethical responsibility. | |||||
| 7 | Communicates effectively. | |||||
| 8 | Recognizes the need for lifelong learning and engages in it. | |||||
| 9 | Has knowledge of contemporary issues. | |||||
| 10 | Uses modern tools, techniques, and skills necessary for engineering applications. | |||||
| 11 | Has knowledge of project management skills and international standards and methodologies. | |||||
| 12 | Develops engineering products and prototypes for real-world problems. | |||||
| 13 | Contributes to professional knowledge. | |||||
| 14 | Conducts methodological and scientific research. | |||||
| 15 | Produces, reports, and presents a scientific work based on original or existing knowledge. | |||||
| 16 | Defends the original idea generated. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 2 | 32 |
| Presentation/Seminar Prepration | 1 | 10 | 10 |
| Project | |||
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | 2 | 5 | 10 |
| Prepration of Midterm Exams/Midterm Jury | 1 | 10 | 10 |
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 125 | ||