JIANG Feng-Jian, SHI Ming-Jun, CHONG Bo, DU Jiang-Feng
Department of Modern Physics, University of Science and Technology of China, and Hefei National Laboratory for Physical Sciences at Microscale, Hefei 230026
Error Tolerance in Constructing Cluster States
JIANG Feng-Jian, SHI Ming-Jun, CHONG Bo, DU Jiang-Feng
Department of Modern Physics, University of Science and Technology of China, and Hefei National Laboratory for Physical Sciences at Microscale, Hefei 230026
We consider the problem often encountered in constructing large cluster states, that is, the δx measurements in the depolarizing noise, and present a regulation to calculate the error propagation and the accumulation. Rohde et al. first pointed out the question A quantitative analysis is given on the disadvantage influence of the probabilistic gate and noisy environment on the construction of two-dimensional (2D) scalable cluster states. Positivity of partial transpose criteria is used to predict whether the final state is distillable or not. A critical value on the error tolerance in constructing cluster states is determined, which could be used as a test-bed for successful construction of scalable 2D cluster states. Furthermore, our quantitative analysis would also be helpful to find optimal approach to suppress the noise accumulation.
We consider the problem often encountered in constructing large cluster states, that is, the δx measurements in the depolarizing noise, and present a regulation to calculate the error propagation and the accumulation. Rohde et al. first pointed out the question A quantitative analysis is given on the disadvantage influence of the probabilistic gate and noisy environment on the construction of two-dimensional (2D) scalable cluster states. Positivity of partial transpose criteria is used to predict whether the final state is distillable or not. A critical value on the error tolerance in constructing cluster states is determined, which could be used as a test-bed for successful construction of scalable 2D cluster states. Furthermore, our quantitative analysis would also be helpful to find optimal approach to suppress the noise accumulation.
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2010, Vol. 27 
