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DRPS : Course Catalogue : School of Informatics : Informatics

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.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites	It is RECOMMENDED that students have passed ( Quantum Mechanics (PHYS09053) OR Principles of Quantum Mechanics (PHYS10094) OR Informatics Research Review (INFR11136) OR Research Methods in Security, Privacy, and Trust (INFR11188)) OR ( Introduction to Linear Algebra (MATH08057) AND Probability with Applications (MATH08067))	Co-requisites
Prohibited Combinations	Students MUST NOT also be taking Introduction to Quantum Computing (INFR11099)	Other requirements	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. This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser. Basic knowledge of linear algebra, vector spaces, probability theory, complex numbers, models of computation, computability and intractability. Postgraduate or visiting students must have taken similar courses providing this background in their undergraduate degrees. No programming experience is required.

Information for Visiting Students
Pre-requisites	None
High Demand Course?	Yes

Course Delivery Information
Not being delivered

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	Miss Yesica Marco Azorin Tel: (0131 6)50 5194 Email: ymarcoa@ed.ac.uk

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