In the view of application requirement ,the concept and framework of information-based computing technology in grid are discussed. The key technologies--metadata catalog and storage resource broker are studied,and the...In the view of application requirement ,the concept and framework of information-based computing technology in grid are discussed. The key technologies--metadata catalog and storage resource broker are studied,and the application of information-based computing technology to biology is analyzed.展开更多
生物技术的迅猛发展推动了生命科学进入大数据时代,以新一代测序技术为代表的高通量生物技术加速了生物学与计算、信息等学科的融合,大大推进了生物信息学的发展.据美国国家生物技术信息中心（National Center for Biotechnology Inform...生物技术的迅猛发展推动了生命科学进入大数据时代,以新一代测序技术为代表的高通量生物技术加速了生物学与计算、信息等学科的融合,大大推进了生物信息学的发展.据美国国家生物技术信息中心（National Center for Biotechnology Information,NCBI）最新的数据统计,相较前一年,基因组测序项目增长了49.94%,以读长数据（read）为代表的高通量核酸测序数据增长了44.37%,蛋白质序列数据增长了39.85%.展开更多
A non-Markovianity measure based on Brukner–Zeilinger invariant information to characterize nonMarkovian effect of open systems undergoing unital dynamical maps is proposed. The method takes advantage of non-increasi...A non-Markovianity measure based on Brukner–Zeilinger invariant information to characterize nonMarkovian effect of open systems undergoing unital dynamical maps is proposed. The method takes advantage of non-increasing property of the Brukner–Zeilinger invariant information under completely positive and trace-preserving unital maps. The simplicity of computing the Brukner–Zeilinger invariant information is the advantage of the proposed measure because of mainly depending on the purity of quantum state. The measure effectively captures the characteristics of non-Markovianity of unital dynamical maps. As some concrete application, we consider two typical non-Markovian noise channels, i.e., the phase damping channel and the random unitary channel to show the sensitivity of the proposed measure. By investigation, we find that the conditions of detecting the non-Markovianity for the phase damping channel are consistent with the results of existing measures for non-Markovianity, i.e., information flow, divisibility and quantum mutual information. However, for the random unitary channel non-Markovian conditions are same to that of the information flow, but is different from that of the divisibility and quantum mutual information.展开更多
文摘In the view of application requirement ,the concept and framework of information-based computing technology in grid are discussed. The key technologies--metadata catalog and storage resource broker are studied,and the application of information-based computing technology to biology is analyzed.
文摘生物技术的迅猛发展推动了生命科学进入大数据时代,以新一代测序技术为代表的高通量生物技术加速了生物学与计算、信息等学科的融合,大大推进了生物信息学的发展.据美国国家生物技术信息中心（National Center for Biotechnology Information,NCBI）最新的数据统计,相较前一年,基因组测序项目增长了49.94%,以读长数据（read）为代表的高通量核酸测序数据增长了44.37%,蛋白质序列数据增长了39.85%.
基金Supported by the National Natural Science Foundation of China under Grant No.61505053the Natural Science Foundation of Hunan Province under Grant No.2015JJ3092+1 种基金the Research Foundation of Education Bureau of Hunan Province,China under Grant No.16B177the School Foundation from the Hunan University of Arts and Science under Grant No.14ZD01
文摘A non-Markovianity measure based on Brukner–Zeilinger invariant information to characterize nonMarkovian effect of open systems undergoing unital dynamical maps is proposed. The method takes advantage of non-increasing property of the Brukner–Zeilinger invariant information under completely positive and trace-preserving unital maps. The simplicity of computing the Brukner–Zeilinger invariant information is the advantage of the proposed measure because of mainly depending on the purity of quantum state. The measure effectively captures the characteristics of non-Markovianity of unital dynamical maps. As some concrete application, we consider two typical non-Markovian noise channels, i.e., the phase damping channel and the random unitary channel to show the sensitivity of the proposed measure. By investigation, we find that the conditions of detecting the non-Markovianity for the phase damping channel are consistent with the results of existing measures for non-Markovianity, i.e., information flow, divisibility and quantum mutual information. However, for the random unitary channel non-Markovian conditions are same to that of the information flow, but is different from that of the divisibility and quantum mutual information.
