On the optimization of nonlocality proofs inquantum statistics
Summary
This master thesis is centered around the the mathematical framework of quantum
probability and quantum statistics. Quantum statistics is the axiomatization of the
physical theory of quantum mechanics pioneered by von Neumann in the 1930s.
In contrast to many other physical theories which are described by deterministic
models quantum mechanics is a stochastic theory. In fact, quantum probability
can be viewed as an extension to Kolomogorov’s “classical” probability theory.
Especially in the last decade, due to first physical realizations of quantum
computational systems and the rise of quantum information theory, the subject of
quantum statistics became more and more important and many applications for
mathematical statisticians and probabilists opened up.
In this thesis we will be concerned with the optimization of so-called nonlocality
proofs which are methods to show the “non-classicality” of certain probability
distributions within the framework of quantum statistics. In particular,
one is interested in measuring the statistical strength of such nonlocality proofs,
sometimes called Bell tests. One of the main results of this thesis is the analysis
of certain Bell tests where the corresponding measure space is described by
an infinite dimensional separable Hilbert space, corresponding to infinitely many
possible outcomes. In particular, this gives numerical evidence for a new quantum
Bell inequality describing the boundary of the space of quantum probability
distributions for the considered setting. These results have been published in the
following letter, S. Zohren and R. D. Gill, “Maximal violation of the Collins-
Gisin-Linden-Massar-Popescu inequality for infinite dimensional states” submitted
to Phys. Rev. Lett..