Quantum coherent physics and chemistry concern the creation and manipulation of an
excited-state manifold that contains the superposition and entanglement of multiple quantum …

Estimating normals with globally consistent orientations for a raw point cloud has many
downstream geometry processing applications. Despite tremendous efforts in the past …

Automatic analysis and the recognition and prediction of the behaviour of large-scale
crowds in video-surveillance data is a research field of paramount importance for the …

Closed loop quantum control uses measurement to control the dynamics of a quantum
system to achieve either a desired target state or target dynamics. In the case when the …

We introduce the Backwards Quantum Propagation of Phase errors (Baqprop) principle, a
central theme upon which we construct multiple universal optimization heuristics for training …

Stochastic differential equations (SDEs) are mathematical models that are widely used to
describe complex processes or phenomena perturbed by random noise from different …

Abstract Physics-informed Graph Neural Networks have achieved remarkable performance
in learning through graph-structured data by mitigating common GNN challenges such as …

A symmetrical quartic polynomial, named golden one, can be connected to coefficients of
the icosahedron equation as well as to the gyromagnetic correction of the electron and to …

In this work we consider the unbiased estimation of expectations wrt probability measures
that have nonnegative Lebesgue density and which are known pointwise up to a …

In this paper, we calculated the electronic and optical absorption coefficient of the Manning-
like double quantum well under the external applied electric and magnetic fields. To …