We describe a new implementation of the Bernstein-Vazirani algorithm which relies on the fact that the polarization states of classical light beams can be cloned. We explore the possibility of computing with waves and discuss a classical optical model capable of implementing any algorithm (on n qubits) that does not involve entanglement. The Bernstein-Vazirani algorithm (with a suitably modified oracle), wherein a hidden n bit vector is discovered by one oracle query as against n oracle queries required classically, belongs to this category. In our scheme, the modified oracle is also capable of computing f (x) for a given x, which is not possible with earlier versions used in recent NMR and optics implementations of the algorithm.
World is shrinking each day through the use of Internet and people are communicating better than before in this widely distributed network. There is a great need to manage this communication over various networks supporting different specifications. One of the widely used techniques for this type of data management is XML data interchange format. Google developers recently introduced Protocol Buffer as an alternative to XML claiming that it overcomes the shortcomings suffered by XML. This paper compares XML and Protocol Buffer data formats by extensive analysis of the two. The paper evaluates the claims made by Google by developing an algorithm to map an existing XML to Protocol Buffer format and drawing any conclusion on the efficiency and effectiveness of this format as compared to XML. It can be hoped that this work will contribute to the upcoming research in this field as people are looking for more robust data interchange format for the future of the Internet.
For multi parameter optimization of Raman Fiber Amplifier (RFA), a simple genetic algorithm is presented in the scenario of a 320 channel Dense Wavelength Division Multiplexed (DWDM) system at channel spacing of 25 GHz. The large average gain (> 22 dB) is observed from optimized RFA with the optimized parameters, such as 39.6 km of Raman length with counter-propagating pumps tuned to 205.5 THz and 211.9 THz at pump powers of 234.3 mW, 677.1 mW respectively. The gain flattening filter (GFF) has also been optimized to further reduce the gain ripple across the frequency range from 190 to 197.975 THz for broadband amplification.
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