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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2020/2021

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Quantum Information (MATH11169)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Year 5 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryNB. This course is delivered *biennially* with the next instance being in 2019-20. 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.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: ( Probability (MATH08066) OR Probability with Applications (MATH08067)) AND Honours Algebra (MATH10069)
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesVisiting students are advised to check that they have studied the material covered in the syllabus of each prerequisite course before enrolling
High Demand Course? Yes
Course Delivery Information
Not being delivered
Learning Outcomes
On completion of this course, the student will be able to:
  1. Use probability theory methods to carry out calculations quantifying classical and quantum information.
  2. Demonstrate and argue the differences between classical and quantum information theory.
  3. Carry out some investigation in an application of information theory writing a report with appropriate mathematical standards.
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
KeywordsQI
Contacts
Course organiserDr Joan Simon Soler
Tel: (0131 6)50 8571
Email: J.Simon@ed.ac.uk
Course secretaryMr Martin Delaney
Tel: (0131 6)50 6427
Email: Martin.Delaney@ed.ac.uk
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