The aim of this course is to give an introduction to quantum
information theory. The course will also present fundamental aspects
of quantum computation.
The area of quantum computing and information is slowly moving from
fundamental basic research to technology implemented in real
life. It is entirely fair to assume that information technology
based on quantum computation and information processing will play
an important, and perhaps even crucial, role in the future. This
motivates including a course that looks into the foundations and
some of the potential applications in the EE doctoral program.
The course is registered as FEO3240 and is worth 12 cu's.
Teacher: Mikael Skoglund
Material
The main text for the course is Quantum Computation and Quantum Information by Nielsen and
Chuang, Cambridge Univ. Press 2000 & 2010. The book M. M. Wilde, Quantum Information Theory,
Cambridge Univ. Press 2013 & 2017 is frequently used as a complement.
Other recommended texts include: M. Hayashi, Quantum Information, Springer
2006; A. S. Holevo, Statistical Structure of Quantum Theory,
Springer 2001; D. Petz, Quantum Information Theory and Quantum Statistics, Springer 2008; S. P. Gudder, Quantum Probability,
Academic Press 1988. In addition, these lecture
notes are a nice introduction to the topic in general. (For books published by
Springer, note that KTH has access to Springer Link via the library
website.)
Required Background
Analysis, linear algebra and probability at the level of EE research
studies. Some background in information theory, e.g. FEO3210,
is useful but not necessary.
All meetings are held in "SIP's seminar room," OV 10 floor 3, at
9:3012:00 if not stated otherwise.
Preliminary Schedule 2017
 Lecture 1 (March 10): The mathematical description of quantum mechanics
 Lecture 2 (March 24): Quantum mechanics and quantum bits
 Lecture 3 (March 31): Composite systems and entanglement
 Lecture 4 (April 7): The quantum density operator
 Lecture 5 (April 21): Quantum noise and quantum operations
 Lecture 6 (April 28): Distance and entropy measures
 Lecture 7 (May 5): Compression
 Lecture 8 (May 12): Information over noisy quantum channels
 Lecture 9 (May 19): Quantum errorcorrection coding
 Lecture 10 (June 2): Quantum errorcorrection coding
 Lecture 11 (June 16): Quantum secrecy
 Lecture 12 (July 4): Quantum computation
Each lecture will be a 3 hours meeting, where the first 1.5 hours are
a lecture, in seminar format, and where the second 1.5 hours are a
ticking session to go through the homework problems assigned in the
previous meeting.
Downloads
Slides, HW's etc. will be posted here.
 lecture 1,
homework 1
 lecture 2,
homework 2
 lecture 3,
homework 3
 lecture 4,
homework 4
 lecture 5,
homework 5
 lecture 6,
homework 6
 lecture 7,
homework 7
 lecture 8,
homework 8
 lecture 9,
homework 9
 lecture 10,
homework 10
 lecture 11,
homework 11
 lecture 12
