Undergraduate Course: Quantum Information (MATH11169)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Year 5 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | NB. This course is delivered *biennially* with the next instance being in 2025-26. It is anticipated that it would then be delivered every other session thereafter.
This is an introductory course on information and quantum theory aimed at Mathematics students. It emphasises the axioms and mathematical structures behind quantum mechanics. |
| Course description |
The course provides the language and tools for the study of more modern topics such as quantum information and quantum computation.
- Classical information theory (probability distributions, Shannon entropy).
- Mathematics background : finite dimensional Hilbert spaces and tensor products.
- Axioms of quantum theory.
- Density matrices and entanglement.
- Quantum information (von Neumann entropy), properties and applications.
This is an introductory course on information and quantum theory aimed at Mathematics students. It emphasises the axioms and mathematical structures behind quantum mechanics.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
Probability (MATH08066) AND
Honours Algebra (MATH10069)
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | Students can have passed Probability with Applications (MATH08067) AND Honours Algebra (MATH10069) |
Information for Visiting Students
| Pre-requisites | This is a Year 4/5 advanced, Honours level course. Visiting students are expected to have an academic profile equivalent to at least the first three years of the BSc (Hons) Mathematics programme (UTMATHB), and should be confident that their background has equipped them to undertake a course at this level. Students should have passed courses equivalent to Probability (MATH08066) and Honours Algebra (MATH10069). |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2025/26, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
|
| Assessment (Further Info) |
Written Exam
80 %,
Coursework
20 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Coursework 20%
Examination 80% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Minutes |
|
| Main Exam Diet S1 (December) | MATH11169 Quantum Information | 120 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Use probability theory methods to carry out calculations quantifying classical and quantum information.
- Demonstrate and argue the differences between classical and quantum information theory.
- Carry out some investigation in an application of information theory using the tools and concepts developed during the course.
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Reading List
Cover & Thomas, 'Elements of Information Theory', Wiley 2005.
Nielsen & Chuang, 'Quantum Computation and Quantum Information, CUP 2000.
Preskill - lectures on Quantum Computation (online). |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | QI |
Contacts
| Course organiser | Dr Joan Simon Soler
Tel: (0131 6)50 8571
Email: J.Simon@ed.ac.uk |
Course secretary | Mr Martin Delaney
Tel: (0131 6)50 6427
Email: Martin.Delaney@ed.ac.uk |
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