Arqand Amir, Memarzadeh Laleh, Mancini Stefano
Department of Physics, Sharif University of Technology, Tehran 11365-9161, Iran.
School of Science & Technology, University of Camerino, I-62032 Camerino, Italy.
Entropy (Basel). 2023 Jun 29;25(7):1001. doi: 10.3390/e25071001.
We study the LOCC-assisted quantum capacity of a bosonic dephasing channel with energy constraint on the input states. We start our analysis by focusing on the energy-constrained squashed entanglement of the channel, which is an upper bound for the energy-constrained LOCC-assisted quantum capacity. As computing energy-constrained squashed entanglement of the channel is challenging due to a double optimization (over the set of density matrices and the isometric extensions of a squashing channel), we first derive an upper bound for it, and then, we discuss how tight that bound is for the energy-constrained LOCC-assisted quantum capacity of the bosonic dephasing channel. In doling so, we prove that the optimal input state is diagonal in the Fock basis. Then, we analyze two explicit examples of squashing channels through which we derive explicit upper and lower bounds for the energy-constrained LOCC-assisted quantum capacity of the bosonic dephasing channel in terms of its quantum capacity with different noise parameters. As the difference between upper and lower bounds becomes smaller by increasing the dephasing parameter, the bounds become tighter.
我们研究了在输入态具有能量约束的情况下,玻色子退相通道的局域操作与经典通信(LOCC)辅助量子容量。我们通过关注该通道的能量约束压缩纠缠来开始分析,它是能量约束的LOCC辅助量子容量的一个上界。由于计算该通道的能量约束压缩纠缠具有挑战性,因为存在双重优化(在密度矩阵集和压缩通道的等距扩展上),我们首先推导其一个上界,然后讨论该上界对于玻色子退相通道的能量约束LOCC辅助量子容量有多紧。在这样做的过程中,我们证明最优输入态在福克基下是对角的。然后,我们分析两个压缩通道的具体例子,通过它们我们根据具有不同噪声参数的量子容量,推导出玻色子退相通道的能量约束LOCC辅助量子容量的明确上下界。随着通过增加退相参数使上下界之间的差异变小,这些界变得更紧。