8,469 research outputs found

    Quantum random walk of two photons in separable and entangled state

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    We discuss quantum random walk of two photons using linear optical elements. We analyze the quantum random walk using photons in a variety of quantum states including entangled states. We find that for photons initially in separable Fock states, the final state is entangled. For polarization entangled photons produced by type II downconverter, we calculate the joint probability of detecting two photons at a given site. We show the remarkable dependence of the two photon detection probability on the quantum nature of the state. In order to understand the quantum random walk, we present exact analytical results for small number of steps like five. We present in details numerical results for a number of cases and supplement the numerical results with asymptotic analytical results

    Synthesis of Nano-Crystalline Ceramic powders by Chemical Process

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    Several processes were developed by our research group to synthesise nanocrystalline ceramic materials. Amongst them, the im,estigation of the new, simple and versatile technique to generate ultra fine powders of advanced ceramic oxides using a chemical pyrophoric reaction and sot-gel techniques are noteworthy. In the solution comb-ustion technique, the role of pH on the morphology of the synthesised powder was attributedto the redox reaction. These pyrophoricallp generated precursors could also be utilised to synthesise nano-crystalline aluminium nitride powders at low temperatures using carbotherntic process. An economically feasible alkoxide based solgel process for the production of high purity nano-crystalline alumina powders was established and several subsequent processes to generate nanospheres to micro spheres were investi-gated. This increased the potential of these high pure nano-crystalline spherical alumina powders for practical applications in spray coating on industrial components, fabrication of envelope for sodium vapour lamp, hip joints and IC substrate

    Spatial-temporal evolution of the current filamentation instability

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    The spatial-temporal evolution of the purely transverse current filamentation instability is analyzed by deriving a single partial differential equation for the instability and obtaining the analytical solutions for the spatially and temporally growing current filament mode. When the beam front always encounters fresh plasma, our analysis shows that the instability grows spatially from the beam front to the back up to a certain critical beam length; then the instability acquires a purely temporal growth. This critical beam length increases linearly with time and in the non-relativistic regime it is proportional to the beam velocity. In the relativistic regime the critical length is inversely proportional to the cube of the beam Lorentz factor γ0b\gamma_{0b}. Thus, in the ultra-relativistic regime the instability immediately acquires a purely temporal growth all over the beam. The analytical results are in good agreement with multidimensional particle-in-cell simulations performed with OSIRIS. Relevance of current study to recent and future experiments on fireball beams is also addressed

    Pump It Up: Predict Water Pump Status using Attentive Tabular Learning

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    Water crisis is a crucial concern around the globe. Appropriate and timely maintenance of water pumps in drought-hit countries is vital for communities relying on the well. In this paper, we analyze and apply a sequential attentive deep neural architecture, TabNet, for predicting water pump repair status in Tanzania. The model combines the valuable benefits of tree-based algorithms and neural networks, enabling end-to-end training, model interpretability, sparse feature selection, and efficient learning on tabular data. Finally, we compare the performance of TabNet with popular gradient tree-boosting algorithms like XGBoost, LightGBM,CatBoost, and demonstrate how we can further uplift the performance by choosing focal loss as the objective function while training on imbalanced data.Comment: 9 pages, 5 figures, 2 table

    Magnetically assisted self-injection and radiation generation for plasma based acceleration

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    It is shown through analytical modeling and numerical simulations that external magnetic fields can relax the self-trapping thresholds in plasma based accelerators. In addition, the transverse location where self-trapping occurs can be selected by adequate choice of the spatial profile of the external magnetic field. We also find that magnetic-field assisted self-injection can lead to the emission of betatron radiation at well defined frequencies. This controlled injection technique could be explored using state-of-the-art magnetic fields in current/next generation plasma/laser wakefield accelerator experiments.Comment: 7 pages, 4 figures, accepted for publication in Plasma Physics and Controlled Fusio

    Analytical pair correlations in ideal quantum gases: Temperature-dependent bunching and antibunching

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    The fluctuation-dissipation theorem together with the exact density response spectrum for ideal quantum gases has been utilized to yield a new expression for the static structure factor, which we use to derive exact analytical expressions for the temperature{dependent pair distribution function g(r) of the ideal gases. The plots of bosonic and fermionic g(r) display "Bose pile" and "Fermi hole" typically akin to bunching and antibunching as observed experimentally for ultracold atomic gases. The behavior of spin-scaled pair correlation for fermions is almost featureless but bosons show a rich structure including long-range correlations near T_c. The coherent state at T=0 shows no correlation at all, just like single-mode lasers. The depicted decreasing trend in correlation with decrease in temperature for T < T_c should be observable in accurate experiments.Comment: 8 pages, 1 figure, minor revisio
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