Undergraduate Course: Introduction to Quantum Computing (UG) (INFR11222)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Year 4 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course follows the delivery and assessment of Introduction to Quantum Computing (INFR11099) exactly. Undergraduate students must register for this course, while MSc students must register for INFR11099 instead. |
| Course description |
This course follows the delivery and assessment of Introduction to Quantum Computing (INFR11099) exactly. Undergraduate students must register for this course, while MSc students must register for INFR11099 instead.
|
Information for Visiting Students
| Pre-requisites | As above, and this course is open to full year Visiting Students only, as the course is delivered in Semester 1 and examined at the end of Semester 2. |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2022/23, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Seminar/Tutorial Hours 8,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
68 )
|
| Assessment (Further Info) |
Written Exam
75 %,
Coursework
25 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Exam 75%
Coursework 25% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S2 (April/May) | Introduction to Quantum Computing (UG) (INFR11222) | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Use the mathematical framework of quantum computation to predict outcomes of quantum circuits
- Explain and analyse quantum algorithms described in quantum circuit and measurement-based quantum computing models
- Discuss the difference of performance between classical and quantum computer for different computational tasks
- Master notions of more advanced topics, such as error correction on algorithms for near-term architectures
- Critically read and understand scientific literature on quantum computing
|
Reading List
| The principal source will be lectures slides provided during the course. Other textbook for the course are "Quantum Computation and Quantum Information" by Nielsen and Chuang, "An Introduction to Quantum Computing" by Kaye, Laflamme and Mosca. Also a useful supporting textbook for the course is "Quantum Information" by Stephen Barnett. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | iqc |
Contacts
| Course organiser | Dr Raul Garcia-Patron Sanchez
Tel: (0131 6)50 2692
Email: rgarcia3@exseed.ed.ac.uk |
Course secretary | Mrs Helen Tweedale
Tel: (0131 6)50 2692
Email: Helen.Tweedale@ed.ac.uk |
|
|
University Homepage