在相关噪声通道作用下延缓最大纠缠混合态的纠缠和量子相干性衰减

Natasha Awasthi, Ashutosh Singh, Dheeraj Kumar Joshi
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引用次数: 0

摘要

研究了在相关噪声通道作用下最大纠缠混合态(MEMS)的动力学特性。通道的作用方式是它的连续使用是相关的。我们研究了MEMS的特性,包括量子相干性和纠缠性。对于部分相关通道,MEMS的纠缠度和相干度的衰减速度比无记忆通道慢得多。此外,我们还观察到相位阻尼通道的相干性冻结效应,以及具有完美记忆的相位阻尼通道的去极化和纠缠冻结效应。对于振幅阻尼和去极化通道,记忆有助于延迟纠缠的突然死亡或减缓相干的衰减速率。这些观察结果表明,存储通道比无存储通道在保持量子态完整性方面表现更好,并且在量子信息处理协议中具有实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Postponing the decay of entanglement and quantum coherence for maximally entangled mixed states under the action of correlated noise channels
We investigate the dynamics of a maximally entangled mixed state (MEMS) under the action of correlated noise channels. The channel acts in a way that its successive uses are correlated. We have studied the MEMS properties, including quantum coherence and entanglement. For partially correlated channels, both the entanglement and coherence of MEMS are found to decay much slower than those of the memoryless channels. Moreover, we observe a freezing effect of coherence for phase damping as well as depolarizing channels and freezing of entanglement for phase-damping channels with perfect memory. For amplitude damping and depolarizing channels, memory helps in either delaying the sudden death of entanglement or slowing the decay rate of coherence. These observations suggest that memory channels perform better than memoryless channels in maintaining the integrity of quantum states and have utility in quantum information processing protocols.
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