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DRPS : Course Catalogue : School of Informatics : Informatics

Undergraduate Course: Introduction to Quantum Computing (UG) (INFR11222)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Year 4 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis 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-requisitesNone
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 the mathematical framework of quantum computation to predict outcomes of quantum circuits
  2. Explain and analyse quantum algorithms described in quantum circuit and measurement-based quantum computing models
  3. Discuss the difference of performance between classical and quantum computer for different computational tasks
  4. Master notions of more advanced topics, such as error correction on algorithms for near-term architectures
  5. 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
Keywordsiqc
Contacts
Course organiserDr Raul Garcia-Patron Sanchez
Tel: (0131 6)50 2692
Email: rgarcia3@exseed.ed.ac.uk
Course secretaryMiss Yesica Marco Azorin
Tel: (0131 6)505113
Email: ymarcoa@ed.ac.uk
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