Course Name Code Semester T+U Hours Credit ECTS
Introduction To Quantum Computing MAT 618 0 3 + 0 3 6
Precondition Courses Algebra, Linear algebra, Function analysis
Recommended Optional Courses
Course Language Turkish
Course Level Doctorate Degree
Course Type Optional
Course Coordinator Doç.Dr. MURAT GÜZELTEPE
Course Lecturers Doç.Dr. MURAT GÜZELTEPE,
Course Assistants
Course Category Field Proper Education
Course Objective
Course Content 1. Fundamental concepts: The circuit model, reversible computation, quantum circuit model
2. Linear algebra and Dirac notation: The Dirac notation and Hilbert space, Dual vectors, Spectral theorem, tensor product, The Schmidt decomposition, theorem, some properties of Dirac notation, Linear operators and matrices, , Eigen value problems, Pauli matrices
3. Qubits and some quantum phenomenon, Quantum teleportation, Quantum decoherence
4. Quantum error-correcting codes, quantum channel, stabilizer codes
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Students will have learnt the circuit model, reversible computation, quantum circuit model. Lecture, Question-Answer, Drilland Practice, Demonstration, Testing, Homework,
2 Students will have learnt single and multiple qubits, quantum gates, quantum entanglement , quantum parallelism. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Motivations to Show, Testing, Homework,
3 Students will have learnt quantum error correcting codes, CSS codes, stabilizer codes. Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Circuit model, reversiblecomputation, quantum Circuit model
2 Dirac notation and Hilbert space, dual vectors
3 The Spektral theorem, tensor product
4 The Schmidt theorm, some comments on Dirac notation
5 Linear operators and matrices, eigenvalue problems
6 Pauli spin matrices
7 single and multiple qubits
8 Quantum gates
9 Quantum teleportation
10 Measurement
11 Quantum entanglement , quantum parallelism
12 Quantum error correcting codes
13 CSS codes
14 Stabilizer codes
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
0 Develop strategic, political and practice plans and evaluate the results by taking into account the quality process in his/her area of expertise
1 At a master´s degree level, student reaches new knowledge via scientific researches, the use of knowledge of the same field as him/her or of different field from him/her, and the use of knowledge based on the competence in his/her field; s/he interprets the knowledge and prospects for the fields of application. X
2 Student completes the missing or limited knowledge by using the scientific methods.
3 Student freely poses a problem of his/her field, develops a solution method, solves the problem, and evaluates the result. X
4 Student conveys, orally or in writing, his/her studies or the current developments in his/her field to the people in or out of his/her field.
5 Student finds a solution to the unforeseen complex problems in his/her studies by developing new approaches. X
6 At a doctorate degree level, student prepares at least one scientific article of his/her field to be published in an international indexed journal, and s/he extends its popularity.
7 Student analyzes the works that have been published before, approaches the same subjects with different proof methods, or determines the open problems about the current subject matters. X
8 Student looks for the scientists studying on the same field as him/her, and s/he gets in touch with them for a collaborative work. X
9 Student knows enough foreign language to do a collaborative work with the scientists studying on the same field as him/her abroad.
10 Student follows the necessary technological developments in his/her field, and s/he uses them. X
11 Student looks out for the scientific and ethic values while gathering, interpreting and publishing data. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Ödev 30
2. Ödev 30
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 5 80
Mid-terms 1 3 3
Assignment 3 9 27
Final examination 1 3 3
Total Workload 161
Total Workload / 25 (Hours) 6.44
dersAKTSKredisi 6