Standard 2-dimensional quantum walks (i.e. essentially walks where
the particle can move up and down as well as left and right) are powered
by a coin operator that has 4 possible states, each state corresponding to
moving in one of the possible directions.
However it is very hard experimentally to control such a larger state
system. It has been shown (http://arxiv.org/abs/1010.2470)
that if we alternate the walk (i.e.
move first in vertical direction, followed by horizontal movement), we
can use a 2-state quantum system (i.e. a standard coin), which is far
easier to control. In certain cases this alternating process corresponds
to well-known 2-dimensional walks. Right now, only a few correspondences
have been found, and the general case (of which 2-dim quantum walks
can be simulated by such an alternating walk) is unknown.
In this research it is proposed to exam in general this correspondence.
Of particular interest will be whether the entanglement generation is
fundamentally different in an alternating walk compared to a
non-alternating one. We need also to examine the complexity of the
process and its resource usage: While a 2-state system is easier to
control that a 4-state one, twice the number of steps are need to get
to an arbitrary location in the integer plane.
We expect this to be of use in quantum algorithms that rely on searching
through a graph. Many of the applications of these quantum walks in
algorithm design are already known (A. Ambainis,
International Journal of Quantum Information, 1:507-518, 2003).
The use of this work will be in developing quantum algorithms with
faster search times and faster hitting times.
It is well known for a number of years that the property of entanglement in a quantum system is an essential resource to allow the superior performance of quantum algorithms over classical ones. In recent years, the active research area of Quantum Random Walks (QRW) has shown that entanglement is generated by these walks. This project will examine (and quantify) the entanglement generated by various types of QRWs, for example