Lyot filters have been designed for multi-access high capacity wavelength division multiplexing between a communications hub and spatially separated spokes. Reported here are modifications to a basic classical communications Lyot filter stage , but using a hyper-entangled bipartite input state possessing non-degenerate frequencies for advanced quantum communications. Lyot filters and pre-shared linking knowledge can be used to better ensure efficiency and efficacy in manifesting entanglement correlations between polarization degrees of freedom in non-rotationally invariant measurement bases. Lyot filters also allow entangled photon routing, a function of entanglement between incident frequencies and polarization.
In this paper, we consider the problem of searching large image databases on the basis of the similarity between a query image submitted to the system and a set of target images in a database. In particular, we propose a system that combines results from several independent query configurations run in parallel. We provide a comparative analysis of performance of the individual configurations, which include four combinations of two color spaces (RGB and YIQ) and two wavelet composition algorithms (Haar and Daubechies), and an approach that combines the four configurations (fusion).