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	1. Studies on the Third-order Optical Nonlinearities of a Series of Hydroxylphenyl Porphyrin
	Xinguo Li,Songhao Pei,Xiaowei Zou,LIU Yanling,PENG Weixian,SHI Yingyan,WANG Xingqiao
	Physics 02 March 2005
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

	Abstract:The nonlinear refraction index n2 and the reverse saturation absorption (RSA) coefficient β of a series of hydroxylphenyl porphyrin have been measured using single beam Z-scan technique with a 8 ns laser pulse at 532nm and the third-order nonlinear susceptibility χ(3) of the samples are calculated. It is seen that a series of hydroxylphenyl porphyrin have large value of the reverse saturation absorption and cubic nonlinear refraction. The effects of molecular structures on the third-order nonlinear optical properties were discussed. Experimental results show that the effects of different numbers and different positions of substituent to the nonlinear refraction of porphyrin are evident.
	TO cite this article:Xinguo Li,Songhao Pei,Xiaowei Zou, et al. Studies on the Third-order Optical Nonlinearities of a Series of Hydroxylphenyl Porphyrin[OL].[ 2 March 2005] http://en.paper.edu.cn/en_releasepaper/content/1624


	2. Generalized Transmission Line Theory for Good Conductors
	Xiaohua Wang,Bingzhong Wang
	Physics 22 February 2005
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	Abstract:The frequency-domain transmission-line equations for good metal transmission lines are derived in this paper. Such a general formula is very useful in order to analyze the characteristics of arbitrary transmission lines. And the hypothesis, i.e., the existence of non-zero diagonal parameters in the parameter matrix, made by Haase and Mei is validated partially through a sound theoretic derivation. The non-zero parameter takes into account the effects of discontinuity, radiation and higher modes of the lines.
	TO cite this article:Xiaohua Wang,Bingzhong Wang. Generalized Transmission Line Theory for Good Conductors[OL].[22 February 2005] http://en.paper.edu.cn/en_releasepaper/content/1581


	3. Implementation of a Multiple Round Quantum Dense Coding Using
	Jing-Fu Zhang,Jingyi Xie,Chuan Wang
	Physics 21 February 2005
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

	Abstract:A multiple round quantum dense coding scheme based on the quantum phase estimation algorithm is proposed and implemented in a three- qubit nuclear magnetic resonance (NMR) quantum computer. Using an $m+1$ qubit system, Bob can transmit one of $2^{m+1}$ messages to Alice, through manipulating only one qubit and exchanging it between Alice and Bob for $m$ rounds. The information capacity is enhanced to $m+1$ bits as compared to $m$ bits in a classical scheme. The scheme has been demonstrated in NMR system, and the experimental results show a good agreement between theory and experiment.
	TO cite this article:Jing-Fu Zhang,Jingyi Xie,Chuan Wang. Implementation of a Multiple Round Quantum Dense Coding Using[OL].[21 February 2005] http://en.paper.edu.cn/en_releasepaper/content/1575


	4. Quantum secure direct communication with high dimension quantum superdense coding
	Chuan Wang,Fu-Guo Deng
	Physics 21 February 2005
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	Abstract:A protocol for quantum secure direct communication with quantum super-dense coding is proposed. It combines the ideas of, block transmission, the ping-pong quantum secure direct communication protocol and the quantum super-dense coding. It has the advantage of being secure and of high source capacity.
	TO cite this article:Chuan Wang,Fu-Guo Deng. Quantum secure direct communication with high dimension quantum superdense coding[OL].[21 February 2005] http://en.paper.edu.cn/en_releasepaper/content/1573


	5. Nonlinear Time Series Prediction Using Improved Least Squares Support Vector Machine
	Xu Ruirui,Bian Guoxing
	Physics 13 January 2005
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

	Abstract:In the research of the nonlinear time series prediction, we apply the least squares support vector machine (LS-SVM) to use. In order to improve the precision LS-SVM has been discussed in the following aspects. First, the parameterγand multi-step prediction capabilities of the LS-SVM network are investigated. Then we employ clustering method in the model to prune the number of the support values. The learning rate and the capabilities of filtering noise for LS-SVM are all greatly improved.
	TO cite this article:Xu Ruirui,Bian Guoxing. Nonlinear Time Series Prediction Using Improved Least Squares Support Vector Machine [OL].[13 January 2005] http://en.

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