Quantum computations can be implemented not only by the action of quantum circuits, but by the adiabatic evolution of a system’s Hamiltonian. This can be done by initializing the system into the ground state of a simple Hamiltonian, and then adiabatically evolving the Hamiltonian to one whose ground state encodes the solution to the problem. The time complexity of the problem, or more basically...

1. Ground Motion Models • describe ground motion caused by earthquakes given event and site related predictor variables • a popular model, based on physical principles, is the so-called stochastic model a • because of its complexity, a surrogate model is often used instead • usually a regression function is fitted through data generated by the stochastic model; the functional form is derived fr...

in recent years, synthetic aperture radar (sar) images have played an important role in the detection and monitoring of ground targets because of their advantages such as independence from climatic conditions and sensitivity to the target geometry. the complexity of sar imaging sensors, especially in the conversion process from raw data to image, has made it difficult to interpret the behavior ...

In this paper, we present experimental results comparing the incoherent wideband MUSIC (IWM) algorithm developed by the Army Research Laboratory (ARL) 2 and the stereausis algorithm developed by the University of Maryland (UMD) for the purpose of performing acoustic direction-of-arrival (DOA) estimation of ground vehicles. We discuss the motivating factors behind the use of auditory-inspired te...

the present meta-analysis was conducted to provide a quantitative measure of the overall effects of task complexity on chinese efl learners’ language production. based on the strict inclusion criteria, 12 primary studies were synthesized according to key features. eleven of them were meta-analyzed to investigate effects of raising the resource-directing task complexity. results revealed that ...

We introduce the no-core full configuration (NCFC) approach and present results for He, C and F with the realistic NN interaction, JISP16. We obtain ground state energies and their uncertainties through exponential extrapolations that we demonstrate are reliable in He where fully converged results are obtained. We find C is overbound by 1.7 MeV and we predict the yet-to-be-measured binding ener...

We propose a method for computation of the Hessian of axially symmetric functions on the roto-translation group SE(3). Eigendecomposition of the resulting Hessian is then used for curvature estimation of tubular structures, similar to how the Hessian matrix of 2D or 3D image data can be used for orientation estimation. This paper focuses on a new implementation of a Gaussian regularized Hessian...

The loop O(n) model is a model for a random collection of non-intersecting loops on the hexagonal lattice, which is believed to be in the same universality class as the spin O(n) model. It has been conjectured that both the spin and the loop O(n) models exhibit exponential decay of correlations when n > 2. We verify this for the loop O(n) model with large parameter n, showing that long loops ar...

While unsupervised segmentation of RGB images has never led to results comparable to supervised segmentation methods, a surprising message of this paper is that unsupervised image segmentation of RGB-D images yields comparable results to supervised segmentation. We propose an unsupervised segmentation algorithm that is carefully crafted to balance the contribution of color and depth features in...