A unification of the coding theory and OAQEC perspective on hybrid codes

It has been shown that there is an advantage in transmitting both quantum and classical information simultaneously over a quantum channel, compared to independent transmissions. The characterization and construction of such codes, which we refer to as hybrid codes, has been done from a coding theory and an operator algebra quantum error correction (OAQEC) perspective. In this work we unify these two perspectives, and show that the coding theory formulation is a specific case of the OAQEC perspective. We also generalize the quantum hamming bound to the hybrid case. To date no such hybrid codes have been physically implemented. In this work we develop a hybrid code and provide the encoding and decoding circuit.Comment: 5 pages, 2 figure

Remotely pumped optical distribution networks: a distributed amplifier model

Optical distribution networks using remotely pumped erbium-doped fiber amplifiers (EDFAs) with a single pump source at the head end can conveniently provide signal gain without adding to the power-consumption cost and management complexity of having multiple locally pumped EDFAs in densely populated metropolitan areas. We introduce an analytical model for understanding the basic physical foundations of remotely pumped network design and for analyzing the number of users that can be supported using such a remote-pumping scheme

Test stand design and analysis for Titan 34D static firing

The Test Stand 1C at the Air Force Astronautic Laboratory (AFAL), Edwards AFB, Calif., was originally designed for F-1 liquid propellant engines. The stand was modified to handle a five and one half segment Solid Rocket Motor (SRM) Titan 34D vertical static firing test. The main design drivers and analysis effort utilized in the modification of the test stand are discussed

Optical pulse propagation in the tight-binding approximation

We formulate the equations describing pulse propagation in a one-dimensional optical structure described by the tight binding approximation, commonly used in solid-state physics to describe electrons levels in a periodic potential. The analysis is carried out in a way that highlights the correspondence with the analysis of pulse propagation in a conventional waveguide. Explicit expressions for the pulse in the waveguide are derived and discussed in the context of the sampling theorems of finite-energy space and time signals

A Feature-Based Analysis on the Impact of Set of Constraints for e-Constrained Differential Evolution

Different types of evolutionary algorithms have been developed for constrained continuous optimization. We carry out a feature-based analysis of evolved constrained continuous optimization instances to understand the characteristics of constraints that make problems hard for evolutionary algorithm. In our study, we examine how various sets of constraints can influence the behaviour of e-Constrained Differential Evolution. Investigating the evolved instances, we obtain knowledge of what type of constraints and their features make a problem difficult for the examined algorithm.Comment: 17 Page

A comparison of the tribological behaviour of Y-TZP in tea and coffee under micro-abrasion conditions

The micro-abrasion of Y-TZP, a candidate dental restorative material, was investigated in a range of caffeine-containing solutions which included tea and coffee. Additions of sugar and milk were used to test the effects of viscosity and pH on the wear rate. The results indicated a significant increase in wear rate in the various solutions, with some correlation between wear rate and increases in viscosity and this was linked to enhance particle entrainment in the more viscous solutions. The generally lower wear rate in tea compared to coffee was associated with a longer ageing period in this solution before uniform wear was observed. Micro-abrasion maps were used to characterize the differences in performance for the material in the environments studied

Improving the Resolution of CNN Feature Maps Efficiently with Multisampling

We describe a new class of subsampling techniques for CNNs, termed multisampling, that significantly increases the amount of information kept by feature maps through subsampling layers. One version of our method, which we call checkered subsampling, significantly improves the accuracy of state-of-the-art architectures such as DenseNet and ResNet without any additional parameters and, remarkably, improves the accuracy of certain pretrained ImageNet models without any training or fine-tuning. We glean new insight into the nature of data augmentations and demonstrate, for the first time, that coarse feature maps are significantly bottlenecking the performance of neural networks in image classification.Comment: Preprin