论文标题
通过非马克维亚随机性进行密集编码的优势
Superiority in dense coding through non-Markovian stochasticity
论文作者
论文摘要
我们研究了分布式密度编码（DC）协议，涉及多个发件人和一个或两个接收器，在非马克维亚噪声的影响下，作用于从发件人传输到接收器的编码量子台上。我们比较了非马克维亚性对DC对去极化通道和去极化通道的影响。在逐步通道的情况下，我们说明对于某些类别的状态，高非马克维亚强度可以消除噪声通道的负面影响，而噪声通道的负面影响则未观察到去极化噪声。此外，我们通过用随机单位替换Pauli矩阵并证明了随机噪声模型对淬火平均密集的编码能力的建设性影响，将随机性纳入噪声模型。有趣的是，我们报告说，当将随机性添加到通道中时，可以消除非马克维亚去极化通道的不利影响。
We investigate the distributed dense coding (DC) protocol, involving multiple senders and a single or two receivers under the influence of non-Markovian noise, acting on the encoded qubits transmitted from senders to the receiver(s). We compare the effects of non-Markovianity on DC both for the dephasing and depolarising channels. In the case of dephasing channels, we illustrate that for some classes of states, high non-Markovian strength can eradicate the negative influence of noisy channels which is not observed for depolarizing noise. Furthermore, we incorporate randomness into the noise models by replacing the Pauli matrices with random unitaries and demonstrate the constructive impact of stochastic noise models on the quenched averaged dense coding capacity. Interestingly, we report that the detrimental effect of non-Markovian depolarising channels in the DC protocol can be eliminated when randomness is added to the channel.
