分光计实验教学中的体会

分析了分光计实验教学中的难点和学生在分光计调节中经常碰到的问题,重点分析了望远镜和双面镜组成的成像系统的成像光路图像以及两像移动的规律,提出了分光计实验教学中需要指导学生运用光路知识分析具体的实验现象从而指导实验操作,对教学实践具有良好的指导意义和参考价值。     

Multi-Atom Entanglement Engineering in Distant Cavities via Resonant Interaction

We propose a scheme for the generation of entangled states for multiple atoms trapped in three distant cavities connected by two identical single-mode fibers. Compared with the previous schemes, the distinct advantages of the proposed scheme are： First, all the cavities in the proposed protocol can interact with each other freely, which is important in quantum communication and distributed quantum computation. Secondly, in the scheme, the atoms, cavities, and fiber mode are in resonance. Thus, the required interaction time is short, which is important in view of decoherence. In principle, the proposed scheme can be extended to generate n atoms entangled states.     

HIGHER ORDER SINGULAR INTEGRAL EQUATIONS ON COMPLEX HYPERSPHERE

A theory of a class of higher order singular integral under the operator(Lf)(u)=1/(ū [ū1 f u 1(u) 1 f ū1(u)+f(u)] is given.We transform the higher order singular integral to a usual Cauchy integral,extend the permutation formula of the higher order singular integral deduced by Qian and Zhong in [4] to a general case,and discuss the regularization problem of the higher order singular integral equations with Cauchy kernel and variable coefficients on complex hypersphere.     

格蕴涵代数的区间值(J)-模糊滤子理论

将区间值模糊集和D[0,1]上的t-模(J)应用于格蕴涵代数的滤子理论,引入格蕴涵代数的区间值,(J)-模糊(关联、正关联)滤子的概念,给出了它们的等价刻画,研究了它们之间的关系.     

Spin gapless armchair graphene nanoribbons under magnetic field and uniaxial strain

Using Green＇s function method, we investigate the spin transport properties of armchair graphene nanoribbons （AG- NRs） under magnetic field and uniaxial strain. Our results show that it is very difficult to transform narrow AGNRs directly from semiconductor to spin gapless semiconductors （SGS） by applying magnetic fields. However, as a uniaxial strain is exerted on the nanoribbons, the AGNRs can transform to SGS by a small magnetic field. The combination mode be- tween magnetic field and uniaxial strain displays a nonmonotonic arch-pattern relationship. In addition, we find that the combination mode is associated with the widths of nanoribbons, which exhibits group behaviors.     

S~(n+1)上具有三个互异常仿Blaschke特征值的超曲面

设x∶M→S⁽ⁿ⁺¹⁾是(n+1)-维单位球面上不含脐点的超曲面.在S(n+1)是(n+1)-维单位球面上不含脐点的超曲面.在S⁽ⁿ⁺¹⁾的Mbius变换群下浸入x的四个基本不变量是:Mbius度量g;Mbius第二基本形式B;Mbius形式φ和Blaschke张量A.对称的(0,2)张量D=A+λB也是Mbius不变量,其中λ是常数.D称为浸入x的仿Blaschke张量,仿Blaschke张量的特征值称为浸入x的仿Blaschke特征值.如果φ=0,对某常数λ,仿Blaschke特征值为常数,那么超曲面x∶M→S(n+1)的Mbius变换群下浸入x的四个基本不变量是:Mbius度量g;Mbius第二基本形式B;Mbius形式φ和Blaschke张量A.对称的(0,2)张量D=A+λB也是Mbius不变量,其中λ是常数.D称为浸入x的仿Blaschke张量,仿Blaschke张量的特征值称为浸入x的仿Blaschke特征值.如果φ=0,对某常数λ,仿Blaschke特征值为常数,那么超曲面x∶M→S⁽ⁿ⁺¹⁾称为仿Blaschke等参超曲面.本文对具有三个互异仿Blaschke特征值(其中有一个重数为1)的仿Blaschke等参超曲面进行了分类.     

基于磁开关的全固态、高功率、长脉冲发生器的初步研究

大多数电容储能型脉冲功率装置的共同特点是采用了气体开关, 由于气体绝缘恢复的限制和电极的烧蚀, 使得其重复频率都不太高, 而且寿命有限. 而目前广泛研究的磁脉冲压缩技术在脉冲功率系统的长寿命、高平均功率和高重复频率运行方面具有很大的应用前景. 通过对BOOST电路、LC谐振电路和磁脉冲压缩电路详细的理论分析和计算机模拟, 设计了由BOOST电路, LC谐振电路, 脉冲变压器, 磁压缩系统, 负载五大部分组成的脉冲发生器电路系统模型, 使用Pspice软件对系统进行了模拟、优化, 得到了电压幅值为55kV, 脉宽为500ns的输出脉冲.     

Research on Quantum Searching Algorithms Based on Phase Shifts

One iterative in Grover＇s original quantum search algorithm consists of two Hadamard-Walsh transformations, a selective amplitude inversion and a diffusion amplitude inversion. We concentrate on the relation among the probability of success of the algorithm, the phase shifts, the number of target items and the number of iterations via replacing the two amplitude inversions by phase shifts of an arbitrary φ = ψ（0 ≤, ψ≤ 27r）. Then, according to the relation we find out the optimal phase shifts when the number of iterations is given. We present a new quantum search algorithm based on the optimal phase shifts of 1.018 after 0.57π√M/N iterations. The new algorithm can obtain either a single target item or multiple target items in the search space with the probability of success at least 93.43%