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 | Bachelor’s Degree (First Cycle) |
| 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. 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 | Gain sufficient knowledge in mathematics, science and computing; be able to use theoretical and applied knowledge in these areas to solve engineering problems related to information systems. | |||||
| 2 | To be able to identify, define, formulate and solve complex engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose. | |||||
| 3 | Designs a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose. | |||||
| 4 | To be able to develop, select and use modern techniques and tools required for the analysis and solution of complex problems encountered in information systems engineering applications; to be able to use information technologies effectively. | |||||
| 5 | Designs and conducts experiments, collects data, analyzes and interprets results to investigate complex engineering problems or research topics specific to the discipline of information systems engineering. | |||||
| 6 | Can work effectively in disciplinary and multidisciplinary teams; can work individually. | |||||
| 7 | a. Communicates effectively both orally and in writing; writes effective reports and understands written reports, prepares design and production reports, makes effective presentations, gives and receives clear and understandable instructions. b. Knows at least one foreign language. | |||||
| 8 | To be aware of the necessity of lifelong learning; to be able to access information, to be able to follow developments in science and technology and to be able to renew himself/herself continuously. | |||||
| 9 | a. Acts in accordance with the principles of ethics, gains awareness of professional and ethical responsibility. b. Gains knowledge about the standards used in information systems engineering applications. | |||||
| 10 | a. Gains knowledge about business life practices such as project management, risk management and change management. b. Gains awareness about entrepreneurship and innovation. c. Gains knowledge about sustainable development. | |||||
| 11 | a. To be able to acquire knowledge about the universal and social effects of information systems engineering applications on health, environment and safety and the problems of the era reflected in the field of engineering. b. Gains awareness of the legal consequences of engineering solutions. | |||||
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 | ||