International Journal of Theoretical Physics

, Volume 54, Issue 8, pp 3004–3017 | Cite as

Cascaded Multi-Level Linear-Optical Quantum Router

Article

Abstract

Quantum router is the requisite element in the future quantum network. In this paper, we describe an approach for constructing the cascaded multi-level quantum router, which is based on the previous work of Lemr et al. (Phys. Rev. A 87, 062333 (2013)). We show that the signals in the router output ports of the ith level can be regarded as the input signals of the (i + 1)th level. In this way, the cascaded multi-level quantum router can be constructed. We can obtain a K level quantum router with 2 K output ports. We also show that with the help of tunable c-phase gate, the success probability of the quantum router can be increased. Moreover, by exploiting the quantum nondemolition (QND) measurement, the control qubits can be reused to decrease the resource of the router. This protocol is useful for future quantum network.

Keywords

Quantum communication Quantum network Quantum router 

1 Introduction

Quantum information processing is an interdisciplinary of physics and information science [1, 2]. Using quantum laws to process information has great advantage, which the traditional classical methods do not have [3]. It has attracted much attention and reached remarkable achievements. Quantum communication protocols, such as quantum teleportation [4], quantum key distribution (QKD) [5, 6, 7, 8, 9, 10, 11, 12, 13, 14], quantum secure direct communication [15, 16, 17, 18, 19, 20, 21, 22, 23] and some other protocols have been widely discussed in the past ten years [24, 25, 26, 27]. On the other hand, quantum network is an indispensable technology allowing people to transmit quantum information [28, 29].

It is known that the important building block of classical information networks are the router devices, which are used to direct the information from the source to its intended destination. Similar to classical router, quantum router as a quantum node coherently connects different quantum channels and different quantum networks. Another function of the quantum router is the path selection of quantum communication, but cannot influence the quantum states. Quantum router will have the similar function with classical router in the future, such as selecting a smooth and rapid path, improving the communication speed, reducing the network communication load, saving network resources, and improving the network system flow rate. Quantum router is an important part of the quantum network composition which represents the rapidly developing research area of the quantum information processing. Recently, many theoretical proposals and experimental demonstrations of quantum router have been carried out in various systems [30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45]. For example, in 2009, Aoki and Parkins realized a photon router using single cesium atoms coupled to a microtoroidal cavity in the over coupled regime [39]. In 2013, Lemr and Černoch proposed a programmable quantum router based on linear-optical element [40], and their protocol is developed subsequently [41].

On the other hand, the multi-port quantum router can be more resilient to the future complex quantum network, compared with the two output-port quantum router. Quantum router with multi-port can send signals to more destinations and realize more complex functionality. In 2013, Zhou and Yang proposed a quantum routing of single photons with cyclic three-level system [42]. In 2014, Lu and Zhou proposed a single-photon router which is a coherent control of multichannel scattering for single photons with quantum interferences using the coupled-resonator waveguide as the quantum channel [43]. In 2014, Yan and Fan proposed a scheme to achieve the multi-channel quantum routing of the single photons in a waveguide-emitter system [44]. Recently, Shomroni and Rosenblum demonstrated the experimental realization which was an all-optical coherent routing of single photons by single photons, with no need for any additional control fields [45].

It is known that the linear optics which takes advantage of easy manipulation, has been widely discussed in quantum information processing. In Re. [41], Lemr et al. described the two-port quantum router based on the linear optics. However, they do not discuss the multi-level and multi-port quantum router. In this paper, we will discuss the multi-level quantum router, where the basic elements are based on the Re. [41]. It is shown that the signals in the router output ports of the ith level can be regarded as the input signals of the (i + 1)th level. In this way, the cascaded multi-level quantum router can be constructed. We can obtain a K level quantum router with 2 K output ports. We also show that with the help of tunable c-phase gate, the success probability of the quantum router can be increased. Moreover, by exploiting the quantum nondemolition (QND) measurement, the control qubits can be reused to decrease the resource of the router.

The paper is organized as follows: in Section 2, we describe the principle of the multiple-port quantum router, give the expression of the output states, and calculate the success probability of each output port. In Section 3, we use the tunable c-phase gate in our multiple-port quantum router to increase the success probability. In Section 4, we will briefly discuss the quantum router with quantum nondemolition (QND) measurement. In Section 5, we will provide a discussion and conclusion.

2 Basic Model of Quantum Router

As shown in Fig. 1, a signal qubit enters the router through the signal input port while the control qubit enters the router using the port of control input [41]. In their protocol, they exploit the generalized c-phase gate [46, 47], quantum nondemolition detector and programmable-phase gate to complete the quantum router. The generalized c-phase gate is composed by a polarization dependent beam splitter(PDBS) with intensity transmissivities \(T_{V}=\frac {1}{3}\) and T H = 1 for vertical and horizontal polarization respectively. In 2012, Miková et al. accomplished the linear optical implementation of the programmable phase gate(PPG) with high success probability. The gate implementation is based on fiber optics components. Qubits are encoded into spatial modes of single photons. The signal from the feed-forward detector is led directly to a phase modulator using only a passive voltage divider [48]. Assuming that the signal qubit takes the form of a general quantum polarization state |Ψ s 〉 = α|H〉 + β|V〉, where |H〉 and |V〉 denote the states of horizontal and vertical linear polarizations and |α|2 + |β|2 = 1. The state of the control qubit is
$$ |\phi_{c}\rangle=\cos\theta|H\rangle+e^{iv}\sin\theta|V\rangle. $$
(1)
Fig. 1

Basic model of the quantum router [41]. Signal qubit is routed into a coherent superposition of two output modes S 1, S 2, depending on the state of the control qubit

After passing through the quantum router, the state of output is
$$ |{\Psi}_{s}\rangle_{OUT}=A^{\prime}|{\Psi}_{s}\rangle+A^{\prime\prime}|{\Psi}_{s}\rangle. $$
(2)
Here, \(A^{\prime }=\frac {\cos \theta }{2\sqrt {2}}\) and \(A^{\prime \prime }=\frac {e^{iv}\sin \theta }{2\sqrt {6}}\). A s 〉 is the state of the output port S 1, and A″|Ψ s 〉 is the state of the output port S 2. A and A″ represent the amplification coefficient of the states, respectively. We can calculate the success probability for each output altered with angle θ.
$$ P_{s_{1}}=|A^{\prime}|^{2}=\frac{\cos^{2}\theta}{8} , P_{s_{2}}=|A^{\prime\prime}|^{2}=\frac{\sin^{2}\theta}{24}. $$
(3)
The total success probability is
$$ P_{succ}^{(1)}=P_{s_{1}}+P_{s_{2}}=|A^{\prime}|^{2}+|A^{\prime\prime}|^{2}=\frac{1+2\cos^{2}\theta}{24}. $$
(4)
The superscript “(1)” means that it is the first level of the quantum router. \(P_{s_{1}}\), \(P_{s_{2}}\) and \(P_{succ}^{(1)}\) as a function of θ are shown in Fig. 2. Now we extend the protocol described in Re. [41] to explain the cascaded quantum router. As shown in Fig. 3, we design a two-level quantum router with four outports. In the two-level quantum router, we require three control qubits, which can be written as
$$\begin{array}{@{}rcl@{}} &&|\phi_{c}\rangle_{1,1}=\cos\theta_{1,1}|H\rangle+e^{iv_{1,1}}\sin\theta_{1,1}|V\rangle,\\ &&|\phi_{c}\rangle_{2,1}=\cos\theta_{2,1}|H\rangle+e^{iv_{2,1}}\sin\theta_{2,1}|V\rangle,\\ &&|\phi_{c}\rangle_{2,2}=\cos\theta_{2,2}|H\rangle+e^{iv_{2,2}}\sin\theta_{2,2}|V\rangle. \end{array} $$
(5)
Fig. 2

The success probability of the one-level quantum router [41], which is altered with θ. The total success probability of \(P^{(1)}_{succ}\) can reach the maximum of 1/8 when θ = 0, and can reach the minimum of 1/24 when \(\theta =\frac {\pi }{2}\)

Fig. 3

The model of cascaded two-level quantum router with four output ports

From Fig. 3, the input states in the second level of the router are essentially the output states of the first level. In this way, the states of each output port can be written as
$$\begin{array}{@{}rcl@{}} |{\Psi}\rangle_{s1,1}^{\prime}&=&A_{1,1}^{\prime}|{\Psi}_{s}\rangle,|{\Psi}\rangle_{s1,1}^{\prime\prime}=A_{1,1}^{\prime\prime}|{\Psi}_{s}\rangle,\\ |{\Psi}\rangle_{s2,1}^{\prime}&=&A_{2,1}^{\prime}|{\Psi}\rangle_{s1,1}^{\prime}=A^{\prime}_{2,1}A^{\prime}_{1,1}|{\Psi}_{s}\rangle,\\ |{\Psi}\rangle_{s2,1}^{\prime\prime}&=&A_{2,1}^{\prime\prime}|{\Psi}\rangle_{s1,1}^{\prime}=A^{\prime\prime}_{2,1}A_{1,1}^{\prime}|{\Psi}_{s}\rangle,\\ |{\Psi}\rangle_{s2,2}^{\prime}&=&A_{2,2}^{\prime}|{\Psi}\rangle_{s1,1}^{\prime\prime}=A^{\prime}_{2,2}A_{1,1}^{\prime\prime}|{\Psi}_{s}\rangle,\\ |{\Psi}\rangle_{s2,2}^{\prime\prime}&=&A_{2,2}^{\prime\prime}|{\Psi}\rangle_{s1,1}^{\prime\prime}=A_{2,2}^{\prime\prime}A_{1,1}^{\prime\prime}|{\Psi}_{s}\rangle. \end{array} $$
(6)
The whole state in all the output ports can be described as
$$\begin{array}{@{}rcl@{}} |{\Psi}_{s}\rangle_{OUT}&=&|{\Psi}\rangle_{s2,1}^{\prime}+|{\Psi}\rangle_{s2,1}^{\prime\prime}+|{\Psi}\rangle_{s2,2}^{\prime}+|{\Psi}\rangle_{s2,2}^{\prime\prime}\\ &=&A_{1,1}^{\prime}A_{2,1}^{\prime}|{\Psi}_{s}\rangle+A_{1,1}^{\prime}A_{2,1}^{\prime\prime}|{\Psi}_{s}\rangle+A_{1,1}^{\prime\prime}A_{2,2}^{\prime}|{\Psi}_{s}\rangle+A_{1,1}^{\prime\prime}A_{2,2}^{\prime\prime}|{\Psi}_{s}\rangle. \end{array} $$
(7)
Here,
$$\begin{array}{@{}rcl@{}} A_{1,1}^{\prime}&=&\frac{\cos\theta_{1,1}}{2\sqrt{2}}, A_{1,1}^{\prime\prime}=\frac{e^{iv_{1,1}}\sin\theta_{1,1}}{2\sqrt{6}},\\ A_{2,1}^{\prime}&=&\frac{\cos\theta_{2,1}}{2\sqrt{2}}, A_{2,1}^{\prime\prime}=\frac{e^{iv_{2,1}}\sin\theta_{2,1}}{2\sqrt{6}},\\ A_{2,2}^{\prime}&=&\frac{\cos\theta_{2,2}}{2\sqrt{2}}, A_{2,2}^{\prime\prime}=\frac{e^{iv_{2,2}}\sin\theta_{2,2}}{2\sqrt{6}}. \end{array} $$
The success probability in each output port is \(P_{s^{\prime }2,1}, P_{s^{\prime \prime }2,1}, P_{s^{\prime }2,2}, P_{s^{\prime \prime }2,2}\), which can be described as
$$\begin{array}{@{}rcl@{}} &&P_{s^{\prime}2,1}=|A_{1,1}^{\prime}A_{2,1}^{\prime}|^{2}=\frac{cos^{2}\theta_{1,1,}cos^{2}\theta_{2,1}}{64},\\ &&P_{s^{\prime\prime}2,1}=|A_{1,1}^{\prime}A_{2,1}^{\prime\prime}|^{2}=\frac{cos^{2}\theta_{1,1}sin^{2}\theta_{2,1}}{192},\\ &&P_{s^{\prime}2,2}=|A_{1,1}^{\prime\prime}A_{2,2}^{\prime}|^{2}=\frac{sin^{2}\theta_{1,1}cos^{2}\theta_{2,2}}{192},\\ &&P_{s^{\prime\prime}2,2}=|A_{1,1}^{\prime\prime}A_{2,2}^{\prime\prime}|^{2}=\frac{sin^{2}\theta_{1,1}sin^{2}\theta_{2,2}}{576}. \end{array} $$
The total success probability can be written as
$$\begin{array}{@{}rcl@{}} P_{succ}^{(2)}&=&P_{s^{\prime}2,1}+P_{s^{\prime\prime}2,1}+P_{s^{\prime}2,2}+P_{s^{\prime\prime}2,2}\\ &=&\frac{3cos^{2}\theta_{1,1}\left(1+2cos^{2}\theta_{2,1}\right)+sin^{2}\theta_{1,1}\left(1+2cos^{2}\theta_{2,2}\right)}{576}. \end{array} $$
(8)
The superscript “(2)” means that it is the second level of the quantum router. If we consider a special case that the control qubits of all the routers are the same (θ 1,1 = θ 2,1 = θ 2,2 = θ, v 1,1 = v 2,1 = v 2,2 = v, then \(A_{1,1}^{\prime }=A_{2,1}^{\prime }=A_{2,2}^{\prime }=A^{\prime }=\frac {\cos \theta }{2\sqrt {2}}\), \(A_{1,1}^{\prime \prime }=A_{2,1}^{\prime \prime }=A^{\prime \prime }_{2,2}=A^{\prime \prime }=\frac {e^{iv}\sin \theta }{2\sqrt {6}}\)), the success probability of the four ports are
$$\begin{array}{@{}rcl@{}} P_{s^{\prime}2,1}&=&|A^{\prime}_{1,1}A^{\prime}_{2,1}|^{2}=|A^{\prime}A^{\prime}|^{2}=\frac{cos^{4}\theta}{64},\\ P_{s^{\prime\prime}2,1}&=&|A^{\prime}_{1,1}A^{\prime\prime}_{2,1}|^{2}=|A^{\prime}A^{\prime\prime}|^{2}=\frac{sin^{2}\theta cos^{2}\theta}{192},\\ P_{s^{\prime}2,2}&=&|A^{\prime\prime}_{1,1}A^{\prime}_{2,2}|^{2}=|A^{\prime\prime}A^{\prime}|^{2}=\frac{sin^{2}\theta cos^{2}\theta}{192},\\ P_{s^{\prime\prime}2,2}&=&|A^{\prime\prime}_{1,1}A^{\prime\prime}_{2,2}|^{2}=|A^{\prime\prime}A^{\prime\prime}|^{2}=\frac{sin^{4}\theta}{576}. \end{array} $$
(9)
The total success probability can be written as
$$\begin{array}{@{}rcl@{}} P_{succ}^{(2)}=P_{s2,1}^{\prime}+P_{s2,1}^{\prime\prime}+P_{s2,2}^{\prime}+P_{s2,2}^{\prime\prime}=(|A^{\prime}|^{2}+|A^{\prime\prime}|^{2})^{2}=\left(P_{succ}^{(1)}\right)^{2}=\frac{\left(1+2cos^{2}\theta\right)^{2}}{576}. \end{array} $$
In Fig. 4, we show the success probability of all the four ports and the total success probability.
Fig. 4

The success probability of the two-level quantum router. Suppose that all the control qubits are the same. The success probability of port \(S_{2,1}^{\prime \prime }\) is equal to port \(S_{2,2}^{\prime }\), because \(P_{s_{2,1}^{\prime \prime }}=P_{s_{2,2}^{\prime }}=|A^{\prime }A^{\prime \prime }|^{2}\)

The approach described above can be extended to the case of multi-level and multi-port quantum router. In the (i + 1)th level, the control qubits can be described as
$$\begin{array}{@{}rcl@{}} |\phi_{c}\rangle_{i+1,2j-1}&=&\cos\theta_{i+1,2j-1}|H\rangle+e^{iv_{i+1,2j-1}}\sin\theta_{i+1,2j-1}|V\rangle,\\ |\phi_{c}\rangle_{i+1,2j}&=&\cos\theta_{i+1,2j}|H\rangle+e^{iv_{i+1,2j}}\sin\theta_{i+1,2j}|V\rangle. \end{array} $$
(10)

Here, i = 1, 2, ⋯ and j = 1, 2, ⋯2 i−1. The index of i means the ith level quantum router and the index of j means the jth quantum router.

According to the states of the ith level, we can obtain the states of each output port in the (i + 1)th level as
$$\begin{array}{@{}rcl@{}} |{\Psi}\rangle_{i+1,2j-1}^{\prime}&=&A_{i+1,2j-1}^{\prime}|{\Psi}\rangle_{i,j}^{\prime},\\ |{\Psi}\rangle_{i+1,2j-1}^{\prime\prime}&=&A_{i+1,2j-1}^{\prime\prime}|{\Psi}\rangle_{i,j}^{\prime},\\ |{\Psi}\rangle_{i+1,2j}^{\prime}&=&A_{i+1,2j}^{\prime}|{\Psi}\rangle_{i,j}^{\prime\prime},\\ |{\Psi}\rangle_{i+1,2j}^{\prime\prime}&=&A_{i+1,2j}^{\prime\prime}|{\Psi}\rangle_{i,j}^{\prime\prime}. \end{array} $$
(11)
Here,
$$\begin{array}{@{}rcl@{}} A^{\prime}_{i+1,2j-1}&=&\frac{\cos\theta_{i+1,2j-1}}{2\sqrt{2}},\\ A^{\prime\prime}_{i+1,2j-1}&=&\frac{e^{iv_{i+1,2j-1}}\sin\theta_{i+1,2j-1}}{2\sqrt{6}},\\ A^{\prime}_{i+1,2j}&=&\frac{\cos\theta_{i+1,2j}}{2\sqrt{2}},\\ A^{\prime\prime}_{i+1,2j}&=&\frac{e^{iv_{i+1,2j}}\sin\theta_{i+1,2j}}{2\sqrt{6}}. \end{array} $$
(12)
If the control qubits of all the routers are the same, we can get the success probability of the third level \(P_{succ}^{(3)}=\left (P_{succ}^{(1)}\right )^{3}=(|A^{\prime }|^{2}+|A^{\prime \prime }|^{2})^{3}\), and the success probability of the mth level \(P_{succ}^{(m)}=\left (P^{(1)}_{succ}\right )^{m}=(|A^{\prime }|^{2}+|A^{\prime \prime }|^{2})^{m}\). The success probability of the cascaded quantum router is described in Fig. 5. Here we let m = 1, 2, ⋯ , 5, respectively.
Fig. 5

The total success probability of the multi-level quantum router. Here m is the number of the level

3 Improvement of Multi-port Router by Tunable C-Phase Gate

In the previous section, we directly extend the protocol of Re. [41] to implement the multi-level quantum router. We only considered the c-phase gate with a fixed phase shift of φ = π. As shown in Re. [41], higher success probability can be achieved using a tunable c-phase gate that can be set to exercise a phase shift φ of any value in the range [0, π]. In 2011, Lemr et al. accomplished the implementation of the optimal linear-optical controlled phase gate. It is a tunable linear-optical controlled phase gate which is optimal for any value of the phase shift. The tunable c-phase gate is an interaction Mach-Zehnder interferometer with tunable phase and losses. Changing the parameters of the setup, the gate can apply any phase shift from the interval [0, π] on the controlled qubit [49]. In 2010, Kieling and O’Brien discovered the success probability of tunable c-phase gate P c relation to the phase shift φ [50, 51, 52],
$$\begin{array}{@{}rcl@{}} P_{c}=\left[1+2\left|sin\frac{\varphi}{2}\right|+2^{\frac{3}{2}}sin\left(\frac{\pi-\varphi}{4}\right)\left|sin\frac{\varphi}{2}\right|^{\frac{1}{2}}\right]^{-2}. \end{array} $$
(13)
In this section, we discuss the multi-port router with tunable c-phase gate. As shown in Fig. 1, the transfer function of the quantum router described in Re. [41] can be written as
$$\begin{array}{@{}rcl@{}} |{\Psi}_{s}\rangle_{OUT}&=&A^{\prime}|{\Psi}_{s}\rangle+A^{\prime\prime}|{\Psi}_{s}\rangle.\\ A^{\prime}&=&\frac{\sqrt{A_{c}}}{2\sqrt{2+2A_{c}}}\left[2cos\theta+A_{c}e^{iv}sin\theta(1+e^{i\varphi})\right],\\ A^{\prime\prime}&=&\frac{e^{iv}sin\theta\sqrt{{A_{c}^{3}}}}{2\sqrt{2+2A_{c}}}(1-e^{i\varphi}). \end{array} $$
(14)
The success probability of each port is
$$\begin{array}{@{}rcl@{}} P_{s1}&=&|A^{\prime}|^{2}=\frac{A_{c}}{8(1+A_{c})}\left[2cos\theta+A_{c}e^{iv}sin\theta(1+e^{i\varphi})\right]^{2},\\ P_{s2}&=&|A^{\prime\prime}|^{2}=\frac{{A_{c}^{3}}sin^{2}\theta}{8(1+A_{c})}(1+e^{i\varphi})^{2},\\ \end{array} $$
$$\begin{array}{@{}rcl@{}} P_{succ}^{(1)}&=&P_{s1}+P_{s2}=|A^{\prime}|^{2}+|A^{\prime\prime}|^{2}\\ &=&\frac{A_{c}\left[2cos\theta+A_{c}e^{iv}sin\theta(1+e^{i\varphi})\right]^{2}+{A_{c}^{3}}sin^{2}\theta(1+e^{i\varphi})^{2}}{8(1+A_{c})}. \end{array} $$
(15)
The advantage of using the tunable c-phase gate is that the total success probability of the quantum router can be increased. Similarly, if we use the tunable c-phase gate in our multi-level quantum router, we can increase the success probability. We let the states of the control qubits are the same as those shown in (5). In this way, the output state of the multi-level quantum router can be written as
$$\begin{array}{@{}rcl@{}} |{\Psi}_{s}\rangle_{OUT}&=&|{\Psi}\rangle_{s2,1}^{\prime}+|{\Psi}\rangle_{s2,1}^{\prime\prime}+|{\Psi}\rangle_{s2,2}^{\prime}+|{\Psi}\rangle_{s2,2}^{\prime\prime}\\ &=&A_{1,1}^{\prime}A_{2,1}^{\prime}|{\Psi}_{s}\rangle+A_{1,1}^{\prime}A_{2,1}^{\prime\prime}|{\Psi}_{s}\rangle+A_{1,1}^{\prime\prime}A_{2,2}^{\prime}|{\Psi}_{s}\rangle+A_{1,1}^{\prime\prime}A_{2,2}^{\prime\prime}|{\Psi}_{s}\rangle.\\ A_{1,1}^{\prime}&=&\frac{\sqrt{A_{c_{1,1}}}}{2\sqrt{2+2A_{c_{1,1}}}}\left[2cos\theta_{1,1}+A_{c_{1,1}}e^{iv_{1,1}}sin\theta_{1,1}(1+e^{i\varphi_{1,1}})\right],\\ A_{1,1}^{\prime\prime}&=&\frac{e^{iv_{1,1}}sin\theta_{1,1}\sqrt{A_{c_{1,1}}^{3}}}{2\sqrt{2+2A_{c_{1,1}}}}(1-e^{i\varphi_{1,1}}),\\ A_{2,1}^{\prime}&=&\frac{\sqrt{A_{c_{2,1}}}}{2\sqrt{2+2A_{c_{2,1}}}}\left[2cos\theta_{2,1}+A_{c_{2,1}}e^{iv_{2,1}}sin\theta_{2,1}(1+e^{i\varphi_{2.1}})\right],\\ A_{2,1}^{\prime\prime}&=&\frac{e^{iv_{2,1}}sin\theta_{2,1}\sqrt{A_{c_{2,1}}^{3}}}{2\sqrt{2+2A_{c_{2,1}}}}(1-e^{i\varphi_{2,1}}),\\ A_{2,2}^{\prime}&=&\frac{\sqrt{A_{c_{2,2}}}}{2\sqrt{2+2A_{c_{2,2}}}}\left[2cos\theta_{2,2}+A_{c_{2,2}}e^{iv_{2,2}}sin\theta_{2,2}(1+e^{i\varphi_{2,2}})\right],\\ A_{2,2}^{\prime\prime}&=&\frac{e^{iv_{2,2}}sin\theta_{2,2}\sqrt{A_{c_{2,2}}^{3}}}{2\sqrt{2+2A_{c_{2,2}}}}(1-e^{i\varphi_{2,2}}),\\ P_{c_{1,1}}&=&\left[1+2\left|sin\frac{\varphi_{1,1}}{2}\right|+2^{\frac{3}{2}}sin\left(\frac{\pi-\varphi_{1,1}}{4}\right)\left|sin\frac{\varphi_{1,1}}{2}\right|^{\frac{1}{2}}\right]^{-2},\\ P_{c_{2,1}}&=&\left[1+2\left|sin\frac{\varphi_{2,1}}{2}\right|+2^{\frac{3}{2}}sin\left(\frac{\pi-\varphi_{2,1}}{4}\right)\left|sin\frac{\varphi_{2,1}}{2}\right|^{\frac{1}{2}}\right]^{-2},\\ P_{c_{2,2}}&=&\left[1+2\left|sin\frac{\varphi_{2,2}}{2}\right|+2^{\frac{3}{2}}sin\left(\frac{\pi-\varphi_{2,2}}{4}\right)\left|sin\frac{\varphi_{2,2}}{2}\right|^{\frac{1}{2}}\right]^{-2}. \end{array} $$
(16)
Here, the \(P_{c_{1,1}}\), \(P_{c_{2,1}}\), \(P_{c_{2,2}}\) denote the success probability of the three tunable c-phase gate, respectively. If we introduce \(|A_{c_{1,1}}|^{2}=P_{c_{1,1}},|A_{c_{2,1}}|^{2}=P_{c_{2,1}},|A_{c_{2,2}}|^{2}=P_{c_{2,2}}\), the success probability of the four output ports are \(P_{s2,1}^{\prime }, P_{s2,1}^{\prime \prime }, P_{s2,2}^{\prime }, P_{s2,2}^{\prime \prime }\), which can be written as
$$\begin{array}{@{}rcl@{}} P_{s^{\prime}2,1}&=&\left|A_{1,1}^{\prime}A_{2,1}^{\prime}\right|^{2}, P_{s^{\prime\prime}2,1}=\left|A_{1,1}^{\prime}A_{2,1}^{\prime\prime}\right|^{2},\\ P_{s^{\prime}2,2}&=&\left|A_{1,1}^{\prime\prime}A_{2,2}^{\prime}\right|^{2}, P_{s^{\prime\prime}2,2}=\left|A_{1,1}^{\prime\prime}A_{2,2}^{\prime\prime}\right|^{2}. \end{array} $$
(17)
The total success probability is
$$\begin{array}{@{}rcl@{}} P_{succ}^{(2)}&=&P_{s^{\prime}2,1}+P_{s^{\prime\prime}2,1}+P_{s^{\prime}2,2}+P_{s^{\prime\prime}2,2}\\ &=&\left|A_{1,1}^{\prime}A_{2,1}^{\prime}\right|^{2}+\left|A_{1,1}^{\prime}A_{2,1}^{\prime\prime}\right|^{2}+\left|A_{1,1}^{\prime\prime}A_{2,2}^{\prime}\right|^{2} +\left|A_{1,1}^{\prime\prime}A_{2,2}^{\prime\prime}\right|^{2}. \end{array} $$
(18)
If we know the two output states \(|{\Psi }\rangle ^{\prime }_{i,j}\) and \(|{\Psi }\rangle ^{\prime \prime }_{i,j}\) in the ith level and the jth quantum router, we can get the four output states in the (i + 1)th level. The iterative formulas can be described as
$$\begin{array}{@{}rcl@{}} |{\Psi}\rangle_{i+1,2j-1}^{\prime} &=& A_{i+1,2j-1}^{\prime}|{\Psi}\rangle_{i,j}^{\prime},\\ |{\Psi}\rangle_{i+1,2j-1}^{\prime\prime} &=& A_{i+1,2j-1}^{\prime\prime}|{\Psi}\rangle_{i,j}^{\prime},\\ |{\Psi}\rangle_{i+1,2j}^{\prime} &=& A_{i+1,2j}^{\prime}|{\Psi}\rangle_{i,j}^{\prime\prime},\\ |{\Psi}\rangle_{i+1,2j}^{\prime\prime} &=& A_{i+1,2j}^{\prime\prime}|{\Psi}\rangle_{i,j}^{\prime\prime}. \end{array} $$
(19)
Here
$$\begin{array}{@{}rcl@{}} A_{i+1,2j-1}^{\prime} &=& \frac{\sqrt{A_{c_{i+1,2j-1}}}}{2\sqrt{2+2A_{c_{i+1,2j-1}}}}\left[{\vphantom{+A_{c_{i+1,2j-1}}e^{iv_{i+1,2j-1}}sin\theta_{i+1,2j-1}(1+e^{i\varphi_{i+1,2j-1}})}}2cos\theta_{i+1,2j-1}\right.\\ &&\left.+A_{c_{i+1,2j-1}}e^{iv_{i+1,2j-1}}sin\theta_{i+1,2j-1}(1+e^{i\varphi_{i+1,2j-1}})\right],\\ A_{i+1,2j-1}^{\prime\prime} &=&\frac{e^{iv_{i+1,2j-1}}sin\theta_{i+1,2j-1}\sqrt{A_{c_{i+1,2j-1}}^{3}}}{2\sqrt{2+2A_{c_{i+1,2j-1}}}}(1-e^{i\varphi_{i+1,2j-1}}),\\ A_{i+1,2j}^{\prime}&=&\frac{\sqrt{A_{c_{i+1,2j}}}}{2\sqrt{2+2A_{c_{i+1,2j}}}}\left[{\vphantom{+A_{c_{i+1,2j-1}}e^{iv_{i+1,2j-1}}sin\theta_{i+1,2j-1}(1+e^{i\varphi_{i+1,2j-1}})}}2cos\theta_{i+1,2j}\right.\\ &&\left.+A_{c_{i+1,2j}}e^{iv_{i+1,2j}}sin\theta_{i+1,2j}(1+e^{i\varphi_{i+1,2j}})\right],\\ A_{i+1,2j}^{\prime\prime}&=&\frac{e^{iv_{i+1,2j}}sin\theta_{i+1,2j}\sqrt{A_{c_{i+1,2j}}^{3}}}{2\sqrt{2+2A_{c_{i+1,2j}}}}(1-e^{i\varphi_{i+1,2j}}), \end{array} $$
(20)
and the control qubits are the same as those in (10). Here, we introduce \(|A_{c_{i+1,2j-1}}|^{2}=P_{c_{i+1,2j-1}},|A_{c_{i+1,2j}}|^{2}=P_{c_{i+1,2j}}\) and \(P_{c_{i+1,2j-1}},P_{c_{i+1,2j}}\) denote the success probability of the (i + 1, 2j−1) and the (i + 1, 2j) tunable c-phase gate, respectively.
$$\begin{array}{@{}rcl@{}} P_{c_{i+1,2j-1}}&=&\left[1+2\left|sin\frac{\varphi_{i+1,2j-1}}{2}\right|+2^{\frac{3}{2}}sin\left(\frac{\pi-\varphi_{i+1,2j-1}}{4}\right)\left|sin\frac{\varphi_{i+1,2j-1}}{2}\right|^{\frac{1}{2}}\right]^{-2},\\ P_{c_{i+1,2j}}&=&\left[1+2\left|sin\frac{\varphi_{i+1,2j}}{2}\right|+2^{\frac{3}{2}}sin\left(\frac{\pi-\varphi_{i+1,2j}}{4}\right)\left|sin\frac{\varphi_{i+1,2j}}{2}\right|^{\frac{1}{2}}\right]^{-2}. \end{array} $$
(21)
Here i = 1, 2, ⋯ and j = 1, 2, ⋯ 2 i−1. Certainly, suppose that the control qubit of each router and all the c-phase gate are the same, i.e. θ 1,1 = θ 2,1 = θ 2,2 = θ, v 1,1 = v 2,1 = v 2,2 = v, φ 1,1 = φ 2,1 = φ 2,2 = φ, \(A_{1,1}^{\prime }=A_{2,1}^{\prime }=A_{2,2}^{\prime }=A^{\prime }=\frac {\sqrt {A_{c}}}{2\sqrt {2+2A_{c}}}\left [2cos\theta +A_{c}e^{iv}sin\theta (1+e^{i\varphi })\right ]\), \(A_{1,1}^{\prime \prime }=A_{2,1}^{\prime \prime }=A_{2,2}^{\prime \prime }=A^{\prime \prime }=\frac {e^{iv}sin\theta \sqrt {{A_{c}^{3}}}}{2\sqrt {2+2A_{c}}}\left (1-e^{i\varphi }\right )\), the success probability in each output port can be written as
$$\begin{array}{@{}rcl@{}} P_{s^{\prime}2,1}&=&\left|A_{1,1}^{\prime}A_{2,1}^{\prime}\right|^{2}=\left|A^{\prime}A^{\prime}\right|^{2}\\ &=&\frac{{A_{c}^{2}}}{64(1+A_{c})^{2}}\left[2cos\theta+A_{c}e^{iv}sin\theta\left(1+e^{i\varphi}\right)\right]^{4},\\ P_{s^{\prime\prime}2,1}&=&\left|A_{1,1}^{\prime}A_{2,1}^{\prime\prime}\right|^{2}=\left|A^{\prime}A^{\prime\prime}\right|^{2}\\ &=&\frac{{A_{c}^{4}}sin^{2}\theta\left(1+e^{i\varphi}\right)^{2}}{64(1+A_{c})^{2}}\left[2cos\theta+A_{c}e^{iv}sin\theta\left(1+e^{i\varphi}\right)\right]^{2},\\ P_{s^{\prime}2,2}&=&\left|A_{1,1}^{\prime\prime}A_{2,2}^{\prime}\right|^{2}=\left|A^{\prime\prime}A^{\prime}\right|=P_{s2,1}^{\prime\prime},\\ P_{s^{\prime\prime}2,2}&=&\left|A_{1,1}^{\prime\prime}A_{2,2}^{\prime\prime}\right|^{2}=\left|A^{\prime\prime}A^{\prime\prime}\right|^{2}\\ &=&\frac{{A_{c}^{6}}sin^{4}\theta}{64(1+A_{c})^{2}}\left(1+e^{i\varphi}\right)^{4},\\ P_{succ}^{(2)}&=&P_{s2,1}^{\prime}+P_{s2,1}^{\prime\prime}+P_{s2,2}^{\prime}+P_{s2,2}^{\prime\prime}\\ &=&\left(\left|A^{\prime}\right|^{2}+\left|A^{\prime\prime}\right|^{2}\right)^{2}=\left(P_{succ}^{(1)}\right)^{2}\\ &=&\left[\frac{A_{c}\left[2cos\theta+A_{c}e^{iv}sin\theta\left(1+e^{i\varphi}\right)\right]^{2}+{A^{3}_{c}}sin^{2}\theta\left(1+e^{i\varphi}\right)^{2}}{8(1+A_{c})}\right]^{2}. \end{array} $$
(22)

Further more, if the control qubit of each router and all the c-phase gate are all the same, the success probability of the state in the third level can be simplified as \(P_{succ}^{(3)}=\left (P_{succ}^{(1)}\right )^{3}=\left (|A^{\prime }|^{2}+|A^{\prime \prime }|^{2}\right )^{3}\), and the success probability of the mth level \(P_{succ}^{(m)}=\left (P_{succ}^{(1)}\right )^{m}=\left (|A^{\prime }|^{2}+|A^{\prime \prime }|^{2}\right )^{m}\).

4 Multilevel Multiple-qubit Router

In the protocol of Re. [41], the control qubit should be detected to judge whether the protocol is successful or not. They exploit the polarization analysis(D/A) to complete the task. In this way, the control qubit will be detected because of the polarization analysis. Interestingly, if we exploit the QND measurement to substitute the D/A detector, the control qubit will not be destroyed. In this way, it can be reused in the next round. In our multilevel quantum router, each control qubit can also be reused, resorting to the QND. Suppose that the state of n-th signal qubit can be described as |Ψ n 〉 = α n |H〉 + β n |V〉, and the control qubit is reused for each signal qubit. If the level of the quantum router is i = 1, by using the c-phase gate, we can obtain the state in the output port as [41]
$$\begin{array}{@{}rcl@{}} |{\Psi}_{n}\rangle_{OUT}=cos\theta\prod\limits_{n}|{\Psi}_{n}\rangle_{OUT1}+\frac{e^{iv}\sin\theta}{3}\prod\limits_{n}|{\Psi}_{n}\rangle_{OUT2}, \end{array} $$
(23)
where OUT1 and OUT2 denote output ports of the router, and n denote the number of the qubits. We can also calculate the state after passing through the second level of the quantum router (i = 2) as
$$\begin{array}{@{}rcl@{}} |{\Psi}_{n}\rangle_{OUT}&=&|{\Psi}\rangle_{s2,1}^{\prime}+|{\Psi}\rangle_{s2,1}^{\prime\prime}+|{\Psi}\rangle_{s2,2}^{\prime}+|{\Psi}\rangle_{s2,2}^{\prime\prime}\\ &=&A_{1,1}^{\prime}A_{2,1}^{\prime}\prod\limits_{n}|{\Psi}_{n}\rangle_{OUT2,1}+A_{1,1}^{\prime}A_{2,1}^{\prime\prime}\prod\limits_{n}|{\Psi}_{n}\rangle_{OUT2,1}\\ &&+A_{1,1}^{\prime\prime}A_{2,1}^{\prime}\prod\limits_{n}|{\Psi}_{n}\rangle_{OUT2,2}+A_{1,1}^{\prime\prime}A_{2,2}^{\prime\prime}\prod\limits_{n}|{\Psi}_{n}\rangle_{OUT2,2}. \end{array} $$
(24)
Here,
$$\begin{array}{@{}rcl@{}} A_{1,1}^{\prime}&=&cos\theta_{1,1}, A_{1,1}^{\prime\prime}=\frac{e^{iv_{1,1}}\sin\theta_{1,1}}{3},\\ A_{2,1}^{\prime}&=&cos\theta_{2,1}, A_{2,1}^{\prime\prime}=\frac{e^{iv_{2,1}}\sin\theta_{2,1}}{3},\\ A_{2,2}^{\prime}&=&cos\theta_{2,2}, A_{2,2}^{\prime\prime}=\frac{e^{iv_{2,2}}\sin\theta_{2,2}}{3}. \end{array} $$
(25)
The control qubits are the same as the states shown in (5). With the same principle, if we know the two output states \(|{\Psi }\rangle ^{\prime }_{i,j}\) and \(|{\Psi }\rangle ^{\prime \prime }_{i,j}\) in the ith level, we can get the state in the four output ports of (i + 1)th level. Suppose that the states of the control qubits are the same as those described in (10), and the states of the tunable c-phase gates are the same as those described in (20). The four states in the (i + 1)th level can be written as
$$\begin{array}{@{}rcl@{}} |{\Psi}\rangle_{i+1,2j-1}^{\prime} &=& A_{i+1,2j-1}^{\prime}|{\Psi}\rangle_{i,j}^{\prime},\\ |{\Psi}\rangle_{i+1,2j-1}^{\prime\prime} &=& A_{i+1,2j-1}^{\prime\prime}|{\Psi}\rangle_{i,j}^{\prime},\\ |{\Psi}\rangle_{i+1,2j}^{\prime} &=& A_{i+1,2j}^{\prime}|{\Psi}\rangle_{i,j}^{\prime\prime},\\ |{\Psi}\rangle_{i+1,2j}^{\prime\prime} &=& A_{i+1,2j}^{\prime\prime}|{\Psi}\rangle_{i,j}^{\prime\prime}. \end{array} $$
(26)
Here,
$$\begin{array}{@{}rcl@{}} A_{i+1,2j-1}^{\prime}&=&cos\theta_{i+1,2j-1},\\ A_{i+1,2j-1}^{\prime\prime}&=&\frac{e^{iv_{i+1,2j-1}}\sin\theta_{i+1,2j-1}}{3},\\ A_{i+1,2j}^{\prime}&=&cos\theta_{i+1,2j},\\ A_{i+1,2j}^{\prime\prime}&=&\frac{e^{iv_{i+1,2j}}\sin\theta_{i+1,2j}}{3}. \end{array} $$
Here j ≤ 2 i−1, i, j = 1, 2, 3⋅⋅⋅. From the iterative formulas, we can know all the information about the output states who connected with this router. If the control qubits of all the routers are the same, i.e. θ 1,1 = θ 2,1 = θ 2,2 = θ, \(A_{1,1}^{\prime }=A_{2,1}^{\prime }=A_{2,2}^{\prime }=cos\theta \), \(A_{1,1}^{\prime \prime }=A_{2,1}^{\prime \prime }=A_{2,2}^{\prime \prime }=\frac {e^{iv}\sin \theta }{3}\). The total success probability of the mth level and n qubits quantum router can be simplified as \(P_{total}=P_{succ}^{m}=\left (2^{1-4n}\left (1-\frac {8}{9}\sin ^{2}\theta \right )^{n}\right )^{m}\).

5 Discussion and Conclusion

So far, we have fully described our cascaded multi-level quantum router. From above description, each signals in the output ports can be regarded as the initial signal, which can be used to implement the cascaded multi-level quantum router, by adding another control qubits. Suppose that the level of the router is K, we can obtain 2 K output ports, which is analogy with the classical router in current network.

It is known that the success probability is an important index for the quantum router. In Figs. 2 and 4, we calculated the total success probability for the quantum router. Figure 2 shows the success probability described in Re. [41]. Figure 4 describes the success probability for the two-level quantum router in our protocol. Interestingly, from Figs. 2 and 4, if \(\theta =\frac {\pi }{3}\), we can find that the signals in all the output ports have the same probability. For the Kth level, we can also obtain the same results, that all 2 K output ports have the same success probability in the point of \(\theta =\frac {\pi }{3}\). It can be explained as follows. In the first level, if the success probability of the two output ports are the same, it essentially means that the two input signals in the second level are the same. By using the same control qubits, they can also obtain the same states in four output ports. In this way, the success probability of signals in all the output ports of the second level must be the same. Certainly, the total success probability decreases with the level of the router. In Fig. 5, we show the success probability of the top five levels. It is shown that, in the first level, the success probability is ∼ 10−1, while it is ∼ 10−5 in the fifth level. In Re. [41], it is shown that by using the tunable c-phase gate, one can increase the total success probability of the router. The tunable c-phase gate is also suitable for the cascaded multi-level quantum router. In Fig. 6, we show that the success probability can also be increased. From Fig. 6, curve A is the success probability altered with θ. By using the tunable c-phase gate, we can obtain a high success probability with different φ in the approximate region θ ∈ (0, 1). We let \(\varphi =\frac {\pi }{6}\), \(\frac {\pi }{4}\) and \(\frac {\pi }{3}\), respectively, and change θ from 0 to \(\frac {\pi }{2}\). m is the level of the quantum router.
Fig. 6

The success probability of the multi-level quantum router using the generalized c-phase gate and tunable c-phase gate, altered with θ. Curve A is the success probability with generalized c-phase gate and the other curves are the success probability with tunable c-phase gate, respectively. It is shown that the success probability can be improved using the tunable c-phase gate by changing θ in the approximate area θ ∈ (0, 1)

Finally, let us briefly discuss the basic elements in our protocol. In this protocol, we essentially exploit the basic block of quantum router to obtain the cascaded quantum router. The basic block of the quantum router is shown in Fig. 1, which is first discussed in Re. [41]. As discussed in Re. [41], the basic elements such as the generalized c-phase gate, PPG, and QND are all based on the linear optics. Certainly, we should point out that to implement the QND with linear optics, they should require the auxiliary entangled photon pair. Moreover, the total success probability cannot reach 100 %. Usually, the QND can be implemented with the nonlinear optics [53, 54]. For example, the cross-Kerr nonlinearity is a good candidate to construct the QND, which has been widely discussed and used in current quantum information processing [55, 56, 57, 58, 59, 60].

In conclusion, we have described an approach to implement the cascaded multi-level quantum router. We can obtain a K level quantum router with 2 K output ports. The signals in the output port of the ith level can be regarded as the signals of the input ports of the (i + 1)th level. We calculated all the states and each success probability in the output ports. On the other hand, it is shown that, with the help of tunable c-phase gate, we can also improve the total success probability. Moreover, with the help of the QND, we can improve this protocol by reusing the control qubits, which can save the initial resources. We hope that this protocol is useful in future quantum network.

Notes

Acknowledgments

This work is supported by the National Natural Science Foundation of China under Grant Nos. 11474168 and 61401222, the Qing Lan Project in Jiangsu Province, the open research fund of Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education (No. NYKL201303), and a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.

References

  1. 1.
    Bennett, C.H., DiVincenzo, D.P.: Nature 404, 247–255 (2000)ADSCrossRefGoogle Scholar
  2. 2.
    Biolatti, E., Iotti, R.C., Zanardi, P., Rossi, F.: Phys. Rev. Lett. 85, 5647 (2000)ADSCrossRefGoogle Scholar
  3. 3.
    Bocchieri, P., Loinger, A.: Lettere al Nuovo Cimento 39, 148–150 (1984)CrossRefGoogle Scholar
  4. 4.
    Bennett, C.H., Brassard, G., Crépeau, C., Jozsa, R., Peres, A., Wootters, W.K.: Phys. Rev. Lett. 70, 1895–1899 (1993)MathSciNetADSCrossRefMATHGoogle Scholar
  5. 5.
    Bennett, C.H., Brassard, G.: In Proceedings of IEEE International Conference on Computers, Systems and Signal Processing, 175–179 (1984)Google Scholar
  6. 6.
    Ekert, A.K.: Phys. Rev. Lett. 67, 661–663 (1991)MathSciNetADSCrossRefMATHGoogle Scholar
  7. 7.
    Bennett, C.H., Brassard, G., Mermin, N.D.: Phys. Rev. Lett. 68, 557 (1992)MathSciNetADSCrossRefMATHGoogle Scholar
  8. 8.
    Deng, F.G., Long, G.L.: Phys. Rev. A 68, 042315 (2003)ADSCrossRefGoogle Scholar
  9. 9.
    Deng, F.G., Long, G.L.: Phys. Rev. A 70, 012311 (2004)ADSCrossRefGoogle Scholar
  10. 10.
    Ma, X., Qi, B., Zhao, Y., Lo, H.K.: Phys. Rev. A 72, 012326 (2005)ADSCrossRefGoogle Scholar
  11. 11.
    Ma, X., Fung, C.H.F., Lo, H.K.: Phys. Rev. A 76, 012307 (2007)ADSCrossRefGoogle Scholar
  12. 12.
    Li, X.H., Deng, F.G., Zhou, H.Y.: Phys. Rev. A 78, 022321 (2008)ADSCrossRefGoogle Scholar
  13. 13.
    Zhang, C.M., Song, X.T., Treeviriyanupab, P., Li, M., Wang, C., Li, H.W., Han, Z.F.: Chin. Sci. Bull. 59, 2825–2828 (2014)CrossRefGoogle Scholar
  14. 14.
    Su, X.: Chin. Sci. Bull. 59, 1083–1090 (2014)CrossRefGoogle Scholar
  15. 15.
    Long, G.L., Liu, X.S.: Phys. Rev. A 65, 032302 (2002)ADSCrossRefGoogle Scholar
  16. 16.
    Deng, F.G., Long, G.L., Liu, X.S.: Phys. Rev. A 68, 042317 (2003)ADSCrossRefGoogle Scholar
  17. 17.
    Deng, F.G., Long, G.L.: Phys. Rev. A 69, 052319 (2004)ADSCrossRefGoogle Scholar
  18. 18.
    Wang, C., Deng, F.G., Li, Y.S., Liu, X.S., Long, G.L.: Phys. Rev. A 71, 044305 (2005)ADSCrossRefGoogle Scholar
  19. 19.
    Chang, Y., Xu, C., Zhang, S., Yan, L.: Chin. Sci. Bull. 58, 4571–4576 (2013)CrossRefGoogle Scholar
  20. 20.
    Gu, B., Huang, Y.G., Fang, X., Chen, Y.L.: Commun. Thero. Phys. 56, 659–663 (2011)ADSCrossRefMATHGoogle Scholar
  21. 21.
    Gu, B., Huang, Y.G., Fang, X., Zhang, C.Y.: Chin. Phys. B 20, 100309 (2011)ADSCrossRefGoogle Scholar
  22. 22.
    Chang, Y., Zhang, S., Yan, L., Li, J.: Chin. Sci. Bull. 59, 2835–2840 (2014)CrossRefGoogle Scholar
  23. 23.
    Chang, Y., Xu, C., Zhang, S., Yan, L.: Chin. Sci. Bull. 59, 2541–2546 (2014)CrossRefGoogle Scholar
  24. 24.
    Liu, Y.: Chin. Sci. Bull. 58, 2927–2931 (2013)CrossRefGoogle Scholar
  25. 25.
    Liu, Y., Ouyang, X.: Chin. Sci. Bull. 58, 2329–2333 (2013)CrossRefGoogle Scholar
  26. 26.
    Heilmann, R., Gräfe, M., Nolte, S., Szameit, A.: Sci. Bull. 60, 96–100 (2015)Google Scholar
  27. 27.
    Xu, J.-S., Li, C.-F.: Sci. Bull. 60, 141–141 (2015)Google Scholar
  28. 28.
    Kimble, H.: Nature 453, 1023–1030 (2008)ADSCrossRefGoogle Scholar
  29. 29.
    Qin, W., Wang, C., Cao, Y., Long, G.L.: Phys. Rev. A 89, 062314 (2014)ADSCrossRefGoogle Scholar
  30. 30.
    Ham, B.S.: ETRI journal 23, 106–110 (2001)CrossRefGoogle Scholar
  31. 31.
    Zhang, T., Mo, X.F., Han, Z.F., Guo, G.C.: Phys. Lett. A 372, 3957–3962 (2008)MathSciNetADSCrossRefMATHGoogle Scholar
  32. 32.
    Zueco, D., Galve, F., Kohler, S., Hänggi, P.: Phys. Rev. A 80, 042303 (2009)ADSCrossRefMATHGoogle Scholar
  33. 33.
    Yupapin, P., Mitatha, S.: Recent Patents Comput. Sci. 2, 14–20 (2009)CrossRefGoogle Scholar
  34. 34.
    Hoi, I.C., Wilson, C.M., Johansson, G., Palomaki, T., Peropadre, B., Delsing, P.: Phys. Rev. Lett. 107, 073601 (2011)ADSCrossRefGoogle Scholar
  35. 35.
    Ma, X.S., Zotter, S., Kofler, J., Jennewein, T., Zeilinger, A.: Phys. Rev. A 83, 043814 (2011)ADSCrossRefGoogle Scholar
  36. 36.
    Agarwal, G.S., Huang, S.: Phys. Rev. A 85, 021801 (2012)ADSCrossRefGoogle Scholar
  37. 37.
    Liu, Y.K., Wang, S.C., Li, Y.Y., Song, L.Y., Xie, X.S., Feng, M.N., Krauss, T.F.: Light: Science & Applications 2, e52 (2013)CrossRefGoogle Scholar
  38. 38.
    Xia, K., Twamley, J.: Phys. Rev. X 3, 031013 (2013)Google Scholar
  39. 39.
    Aoki, T., Parkins, A.S., Alton, D.J., Regal, C.A., Dayan, B., Ostby, E., Kimble, H.J.: Phys. Rev. Lett. 102, 083601 (2009)ADSCrossRefGoogle Scholar
  40. 40.
    Lemr, K., Černoch, A.: Opt. Commun. 300, 282–285 (2013)ADSCrossRefGoogle Scholar
  41. 41.
    Lemr, K., Bartkiewicz, K., Černoch, A., Soubusta, J.: Phys. Rev. A 87, 062333 (2013)ADSCrossRefGoogle Scholar
  42. 42.
    Zhou, L., Yang, L.P., Li, Y., Sun, C.P.: Phys. Rev. Lett. 111, 103604 (2013)ADSCrossRefGoogle Scholar
  43. 43.
    Lu, J., Zhou, L., Kuang, L.M., Nori, F.: Phys. Rev. A 89, 013805 (2014)ADSCrossRefGoogle Scholar
  44. 44.
    Yan, W.B., Fan, H.: Scientific Reports 4, 4820 (2014)ADSGoogle Scholar
  45. 45.
    Shomroni, I., Rosenblum, S., Lovsky, Y., Bechler, O., Guendelman, G., Dayan, B.: Science 345, 903–906 (2014)ADSCrossRefGoogle Scholar
  46. 46.
    Xiu, X.M., Dong, L., Gao, Y.J., Yi, X.X.: Quantum Inf. Comput. 12, 159–170 (2012)MathSciNetMATHGoogle Scholar
  47. 47.
    Xiu, X.M., Dong, L., Shen, H.Z., Gao, Y.J., Yi, X.X.: J. Opt. Soc. Am. B 30, 589–597 (2013)ADSCrossRefGoogle Scholar
  48. 48.
    Miková, M., Fikerová, H., Straka, I., Mičuda, M., Fiurášek, J., Ježek, M., Dušek, M.: Phys. Rev. A 85, 012305 (2012)ADSCrossRefGoogle Scholar
  49. 49.
    Lemr, K., Černoch, A., Soubusta, J., Kieling, K., Eisert, J., Dušek, M.: Phys. Rev. Lett. 106, 013602 (2011)ADSCrossRefGoogle Scholar
  50. 50.
    Kieling, K., O’Brien, J.L., Eisert, J.: New J. Phys. 12, 013003 (2010)ADSCrossRefGoogle Scholar
  51. 51.
    Yang, C.P., Zheng, S.B., Nori, F.: Phys. Rev. A 82, 062326 (2010)ADSCrossRefGoogle Scholar
  52. 52.
    DiCarlo, L., Chow, J.M., Gambetta, J.M., Bishop, L.S., Johnson, B.R., Schuster, D.I., Schoelkopf, R.J.: Nature 460, 240–244 (2009)ADSCrossRefGoogle Scholar
  53. 53.
    Nemoto, K., Munro, W.J.: Phys. Rev. Lett. 93, 250502 (2004)ADSCrossRefGoogle Scholar
  54. 54.
    Barrett, S.D., Kok, P., Nemoto, K., Beausoleil, R.G., Munro, W.J., Spiller, T.P.: Phys. Rev. A 71, 060302 (2005)ADSCrossRefGoogle Scholar
  55. 55.
    He, B., Ren, Y., Bergou, J.A.: Phys. Rev. A 79, 052323 (2009)ADSCrossRefGoogle Scholar
  56. 56.
    He, B., Lin, Q., Simon, C.: Phys. Rev. A 83, 053826 (2011)ADSCrossRefGoogle Scholar
  57. 57.
    Xu, J., Chen, L.W., Li, B.A., Ma, H.R.: Phys. Rev. A 79, 035802 (2009)ADSCrossRefGoogle Scholar
  58. 58.
    Sheng, Y.B., Deng, F.G., Zhou, H.Y.: Phys. Rev. A 77, 042308 (2008)ADSCrossRefGoogle Scholar
  59. 59.
    Sheng, Y.B., Deng, F.G., Zhou, H.Y.: Phys. Rev. A 77, 062325 (2008)ADSCrossRefGoogle Scholar
  60. 60.
    Sheng, Y.B., Zhou, L., Zhao, S.M., Zheng, B.Y.: Phys. Rev. A 85, 012307 (2012)ADSCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Key Lab of Broadband Wireless Communication and Sensor Network TechnologyNanjing University of Posts and Telecommunications, Ministry of EducationNanjingChina
  2. 2.College of Mathematics and PhysicsNanjing University of Posts and TelecommunicationsNanjingChina
  3. 3.Institute of Signal Processing TransmissionNanjing University of Posts and TelecommunicationsNanjingChina

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