Textbook
Quantum Computation and Quantum Information,
Michael A. Nielsen & Isaac L. Chuang, Cambridge University
Press,
2000 ISBN 0-521-63503-9 (Available at UofM bookstore)
Reference books
Quantum computing, Jozef Gruska,
McGraw-Hill,
1999 ISBN 007-709503-0. See book's web page:
http://www.fi.muni.cz/usr/gruska/quantum
Quantum Information Processing for Computer
Scientist,
Gilles Brassard, Preliminary and Fragmented version:
http://www.iro.umontreal.ca/~brassard/livre.pdf
Course's objective:
To introduce the basic notions of quantum computing,
with particular emphasis on quantum circuits and quantum algorithms.
The
course is offered to graduate student (074.757) and undergraduate
student
(074.406) with background either in computer science, mathematics,
physics
or computer engineering.
Marking Scheme:
-
Assignments: 20%
-
Take home Midterm: 30%
-
Take home Final or term project: 50%
General course's outline:
A few lectures will be dedicated to introduce
concepts
in mathematics
-
complex numbers
-
linear algebra
-
Pauli matrices
-
inner products
-
Gram-Schmidt procedure
-
eigenvectors and eigenvalues
-
Hermitian operators
-
tensor products,
as well as concepts in solid state physics (CMOS technology), physics
(properties
of waves and a basic atom model) and computer science (Boolean gates
&Boolean circuits, theory of computation and complexity theory).
Note that
CMOS, physics and CS concepts will be covered more or less deeply based
on student interests and taking in consideration my limitations to
cover
topics in physics and solid state physics. The other lectures will be
dedicated
to: