Prerequisites:
Linear algebra, graduate real analysis and basic functional analysis. Some
knowledge of quantum mechanics would be helpful, but I will spend
a few lectures reviewing what we need.
Recommended Literature:
There will be no textbook. The following books
contain part of what I plan to cover in the course:
1) Michael Nielsen, Isaac Chuang, Quantum Computation and Quantum
Information, Cambridge University Press, 2011 (first edition: 2000).
2) A. Kitaev, A.H. Shen, M.N. Vyali, Classical and quantum computation
, American Mathematical Society 2002.
3) Zhenghan Wang, Topological Quantum Computation, American Mathematical Society 2010.
4) Mark Wilde, Quantum Information Theory, Cambridge University
Press; 2nd edition (February 6, 2017).
5) Klaas Landsman, Foundations of Quantum Theory: From Classical
Concepts to Operator Algebras, Springer 2017.
6) David J. Griffith, Introduction to Quantum Mechanics, Prentice Hall
1995.
7) Vern Paulsen, Completely Bounded Maps and Operator Algebras,
Cambridge University Press, 2003.
Further references to various (online) LN and research articles will be
given throughout the course. I plan to post them on this website as well.
Syllabus:
I will discuss in this course some of the fundamental
aspects of quantum computing and
quantum information theory, that is the theory of information
processing using a quantum physical system.
After a short introduction to quantum mechanics (Stern-Gerlach experiment,
observables, pure states, mixed states, density matrices,
quantum measurements, Heisenberg uncertainty relation, and all that), I
plan to discuss the
notion of entanglement of quantum systems. Entanglement is a feature
of quantum mechanics, which does not exist in classical physics.
Einstein called it the ``spooky action at a distance''. It
expresses a correlation of subsystems of a quantum physical system which
appears naturally as soon as the commutative algebras of functions in
classical physics are replaced by non-commutative algebras of
operators (matrices) in quantum physics. If correlated quantum systems
contain ``enough'' entanglement, they can be used to transmit quantum
information on a classical channel, despite the no-cloning theorem.
This surprising feature leads to
quantum teleportation, which has been realized experimentally.
Mathematically, noncommutative structures described by
operator theory, the theory of operator algebras and
the theory of completely positive maps are at the heart of these
phenomena. I will try to emphasize the connections to operator algebras,
in particular to the theory of von Neumann algebras and subfactor theory,
throughout the course, if applicable.
The course will cover the basics of quantum computation and quantum
algorithms. I plan to describe the Deutsch-Josza algorithm and
Shor's famous factoring algorithm, which can be used to factor
integers on a (hypothetical) quantum computer in polynomial time. Shor's
discovery was a huge surprise, since the best known factoring algorithms
on a classical
computer to date are exponential in the number of digits of the integer to
be factored. Quantum error correction is another important chapter, and
I plan to present the Shor code and the Knill-Laflamme model for error
correction. If there is time, I plan to discuss the use of bi-unitary
matrices from subfactor theory to construct error correcting codes.
This course will concentrate on the theoretical aspects of quantum
computing and quantum information theory. For instance, I will most
likely not have time to discuss the numerous ideas currently on the
market for actually building a quantum computer. If I have time, I will
cover some ideas of topological quantum computing (anyons,
modular tensor categories, quantum spin chains etc.).
Grading: There will be no exams. I will assign exercises during
the lectures, but they will be optional. The course grade will be based on
attendance and team projects. Details for the projects will be provided
as soon as I have some idea what interests students have. Each team will
work out a presentation of a particular topic related to the subject
of the course and present the project in class (one lecture -- 75 minutes).
I will provide guidance on the projects.
Possible Team Projects:
1) A presentation of the Bell inequalities. References: