论文标题
在以生物启发的网络中路由量子状态
Routing a quantum state in a bio-inspired network
论文作者
论文摘要
我们考虑一个类似于$α$ -HELIX结构的自旋网络,并在此生物启发的网络上进行了研究量子信息传输。我们使用的模型是其基本版本中没有音调环境的Davydov模型。我们通过分析和数值研究了这样一个网络中的完美状态转移(PST),该网络提供了从一个节点转移到另一个节点的量子概率的上限。我们研究了网络上不同边界条件的PST,并表明它可以在某些节点和合适的自旋旋转耦合之间达到。
We consider a spin network resembling an $α$-helix structure and study quantum information transfer over this bio-inspired network. The model we use is the Davydov model in its elementary version without a phononic environment. We investigate analytically and numerically the perfect state transfer (PST) in such a network which provides an upper bound on the probability of quantum states transfer from one node to another. We study PST for different boundary conditions on the network and show it is reachable between certain nodes and with suitable spin-spin couplings.