Postgraduate Course: Advanced Introduction to Quantum Computing (INFR11297)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The aim of this course is to give students who know the basics an overview of the advanced topics in the rapidly growing field of Quantum Computation: measurement-based quantum computing, a survey of existing quantum programming platforms, quantum error correction, algorithms for near-term architectures and secure delegated quantum computation. |
| Course description |
- Measurement-based quantum computing: description of graph state and measurement calculus
- Quantum Programming: online platforms and languages
- Quantum error correction: introduction
- Algorithms for near-term architectures: overview
- Unconditionally secure quantum cloud computing: introduction
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | Students MUST NOT also be taking
Introduction to Quantum Computing (INFR11256)
|
Other requirements | Students should only enrol in Advanced Introduction to Quantum Computing instead of Introduction to Quantum Computing if they have prior approval from the QI CDT Programme Director. |
Course Delivery Information
|
| Academic year 2025/26, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 16,
Seminar/Tutorial Hours 4,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
78 )
|
| Assessment (Further Info) |
Written Exam
75 %,
Coursework
25 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
75% Exam«br /»
25% Coursework |
| Feedback |
Oral feedback during tutorials and on coursework. |
| Exam Information |
| Exam Diet |
Paper Name |
Minutes |
|
| Main Exam Diet S1 (December) | Advanced Introduction to Quantum Computing (INFR11297) | 120 | |
Learning Outcomes
On completion of this course, the student will be able to:
- explain and analyse quantum algorithms described in quantum circuit and measurement-based quantum computing models
- master notions of more advanced topics, such as error correction on algorithms for near-term architectures
- use available quantum programming platforms
|
Reading List
| See https://opencourse.inf.ed.ac.uk/iqc/resource-list |
Additional Information
| Course URL |
https://opencourse.inf.ed.ac.uk/iqc |
| Graduate Attributes and Skills |
Research and enquiry: problem-solving, critical/analytical thinking, knowledge integration
Personal effectiveness: planning and organizing
Personal responsibility and autonomy: independent learning, creativity
Communication: written communication skills, programming skills |
| Keywords | Advanced Quantum Computing |
Contacts
| Course organiser | Dr Petros Wallden
Tel: (0131 6)51 5631
Email: petros.wallden@ed.ac.uk |
Course secretary | Ms Lindsay Seal
Tel: (0131 6)50 5194
Email: lindsay.seal@ed.ac.uk |
|
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