Forthcoming events in this series
The LHC (Science, Technology and Politics)
Quantum transport of 2D Dirac fermions: The case for a topological metal
Abstract
The problem of Anderson localization in graphene
has generated a lot of renewed attention since graphene flakes
have been accessible to transport and spectroscopic probes.
The popularity of graphene derives from it realizing planar Dirac
fermions. I will show under what conditions disorder for
planar Dirac fermions does not result in localization but rather in a
metallic state that might be called a topological metal.
12:00
Full control by locally induced relaxation
Abstract
We demonstrate a scheme for controlling a large quantum system by acting
on a small subsystem only. The local control is mediated to the larger
system by some fixed coupling Hamiltonian. The scheme allows to transfer
arbitrary and unknown quantum states from a memory to the large system
("upload access") as well as the inverse ("download access").
We give sufficient conditions of the coupling Hamiltonian for the
controllability
of the system which can be checked efficiently by a colour-infection game on
the graph
that describes the couplings.
A Statistical Physicist's role in molecular biology
Abstract
Modern molecular biology research produces data on a massive scale. This
data
is predominantly high-dimensional, consisting of genome-wide measurements of
the transcriptome, proteome and metabalome. Analysis of these data sets
often
face the additional problem of having small sample sizes, as experimental
data
points may be difficult and expensive to come by. Many analysis algorithms
are
based upon estimating the covariance structure from this high-dimensional
small sample size data, with the consequence that the eigenvalues and eigenvectors
of
the estimated covariance matrix are markedly different from the true values.
Techniques from statistical physics and Random Matrix Theory allow us to
understand how these discrepancies in the eigenstructure arise, and in
particular locate the phase transition points where the eigenvalues and
eigenvectors of the estimated covariance matrix begin to genuinely reflect
the
underlying biological signals present in the data. In this talk I will give
a
brief non-specialist introduction to the biological background motivating
the
work and highlight some recent results obtained within the statistical
physics
approach.
Methods for visualizing high dimensional data.
Quantum reasoning, diagrammatically, automatically
Abstract
We provide both a diagrammatic and logical system to reason about
quantum phenomena. Essential features are entanglement, the flow of
information from the quantum systems into the classical measurement
contexts, and back---these flows are crucial for several quantum informatic
scheme's such as quantum teleportation---, and mutually unbiassed
observables---e.g. position and momentum. The formal structures we use are
kin to those of topological quantum field theories---e.g. monoidal
categories, compact closure, Frobenius objects, coalgebras. We show that
our diagrammatic/logical language is universal. Informal
appetisers can be found in:
* Introducing Categories to the Practicing Physicist
http://web.comlab.ox.ac.uk/oucl/work/bob.coecke/Cats.pdf
* Kindergarten Quantum Mechanics
Anomalous dimensions of twist-2 operators and Pomeron in N=4 SUSY
Abstract
Apologies - this seminar is CANCELLED
Conformal field theories with supergroup symmetry
Near Integrability in (2+1)-Dimensional Yang-Mills Theories
Renormalised sums on infinite cones
Abstract
18:09
Near Integrability in (2+1)-Dimensional Yang-Mills Theories
12:00