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 201920. 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.

Information for Visiting Students
Prerequisites  Visiting 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

Academic year 2019/20, 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
0 %,
Coursework
100 %,
Practical Exam
0 %

Additional Information (Assessment) 
Coursework 100%
(two assignments and a final written report) 
Feedback 
Not entered 
No Exam Information 
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 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 
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 

