Abstract
Orbital angular momentum (OAM) entangled photons propagating through non-Kolmogorov turbulence are studied by numerical simulations. Here, the paper uses the multiphase screen model, especially focusing on the influences of the azimuthal mode and the turbulence parameters (i.e., the generalized exponent, the outer scale of turbulence, and the inner scale of turbulence) on entanglement evolution in the weak scintillation regime. The results indicate that the azimuthal mode, the generalized exponent, and the outer scale of turbulence have obvious influences on OAM entanglement. However, the influence of the turbulence inner scale on OAM entanglement can be ignored.
© 2016 Optical Society of America
1. INTRODUCTION
The orbital angular momentum (OAM) photon has attracted much attention, because in principle it has an infinite number of eigenstates, which not only can store and process quantum states in a high-dimensional Hilbert space, but also hold promise for many potential applications in quantum information processing [1–5]. However, when entangled OAM photons propagate across turbulence, the beam wandering, wavefront distortions, and scintillation destroy the coherence of OAM entanglement [6–10], which is the biggest challenge for realizing OAM-based quantum communication. Therefore, it is more imperative to describe the OAM entanglement evolution in turbulence so the OAM modes can be successfully applied to the free-space quantum communication.
Recently, the effect of atmospheric turbulence on entangled OAM photons has been addressed in many theoretical and experimental studies [7,11–20]. Most of them are based on the Kolmogorov power spectrum, which is widely accepted and applied to researching optical wave propagation in the atmosphere. Until now, it has been experimentally shown that, generally, atmospheric turbulence might possess a different structure from the conventional Kolmogorov one [21]. According to several observations, there have been significant deviations from the Kolmogorov turbulence model in the upper troposphere and stratosphere, as well as along the non-homogeneous path [22–24]. Besides, to our knowledge, in the Kolmogorov power spectrum, the influence of the inner and outer scales, which may be very important to entanglement evolution, was neglected in most previous studies.
In this paper, we have numerically studied the propagation of two OAM entangled photons through non-Kolmogorov turbulence. Through the use of the multiphase screen model, the influences of the azimuthal mode, the generalized exponent, the turbulent outer scale, and the turbulent inner scale on entanglement evolution in the weak scintillation regime are investigated in detail. Meanwhile, the results drawn are compared with the Smith and Raymer theories (S&R) [16] and the result in Ref. [11]. The paper is organized as follows: the numerical procedure is introduced in Section 2. In Section 3, the numerical results are presented. The conclusion is presented in Section 4.
2. NUMERICAL PROCEDURE
The numerical setup is shown in Fig. 1. Without loss of generality, it is assumed that a source field produces a pair of photons, whose input state is a Bell state encoded by LG modes with the opposite azimuthal quantum number
where the subscripts and are labeled as the two different paths and the parameter is the azimuthal mode order. In normalized cylindrical coordinates, the LG modes are expressed as where is the generalized Laguerre polynomial, with being the radial index, , is the azimuthal angle, is the beam waist radius, with is the Rayleigh range (), and is the wavelength. The normalization constant is given byWe first consider the random refractive index fluctuation , which in an inhomogeneous turbulent medium is presented as
where is the refractive index, and is a three-dimensional position vector. From Eq. (4) it can be seen that the random refractive index fluctuation () is far less than the refractive index . Besides, it is assumed that the field propagating through the turbulent atmosphere tends to be paraxial and uniformly polarized. It is found that the propagation of two OAM entangled photons through a turbulent atmosphere can be simulated by a standard split-step method, in which the path is broken up into discrete steps. Each phase screen of turbulent atmosphere is replaced by non-turbulent propagation followed by an effective thin phase screen, as shown in Fig. 1. The phase function for each phase screen can be expressed as where is the wave number in a vacuum, and represents the thickness of each phase screen. As seen from Eq. (5), each phase screen introduces random phase errors, which eventually destroy the entanglement.In the following discussions, the paper employs the non-Kolmogorov power spectral for the refractive index fluctuations, given by [22,23]
where is the generalized exponent, (in units of ) is the generalized refractive-index structure parameter that describes the strength of the turbulence along the path, is the magnitude of the three-dimensional wave number vector, , and , while and are the outer scale and inner scale of turbulence, respectively. is defined by [25,26] where the symbol is the gamma function. When , , and can be satisfied, Eq. (6) reduces to the conventional Kolmogorov spectrumGenerally, the turbulent phase screens can be realized by the spectral method [27,28], in which the phase screens are randomly generated by the fast Fourier transform (FFT) associated with the power density spectrum. It is given by
where is a zero-mean normally distributed random complex-valued function, is the wave number, and is the spacing between samples in the frequency domain. Although the FFT-based phase screen is simple and fast, it is deficient in the low-spatial frequency components , which have an important influence on low-order turbulent effects. Fortunately, the shortcoming can be compensated for by subharmonic methods [29], where the low spatial frequency part of the turbulent phase screen can be expressed asBecause the turbulence phase screen is the sum of Eqs. (9) and (10), when and are large, the straightforward evaluation of Eq. (10) is time consuming in the case of no FFT. If is satisfied, then Eq. (10) becomes a fractional Fourier transform, which can be evaluated using the fast algorithm that has a complexity proportional to that of the FFT algorithm [30].
For the Kolmogorov turbulence statistics with a finite outer scale, the phase structure function can be written as [31]
Here, is the Fried parameter, and is the separation distance. In Fig. 2, for each outer scale, the mean structure function of a sample of 1000 phase screens has been computed, and the results have been compared with the theoretical values given by Eq. (11). As shown in Fig. 2, the values obtained from the simulated phase screens accord well with the theoretical ones, which further implies that the numerical simulations are reliable.Now let us consider the matrix elements of the output OAM state. Due to the random refractive index fluctuations in a turbulent atmosphere, the matrix elements of the output state are scattered into infinite-dimensional OAM space. However, during the measurement process, only the information that is contained in a finite OAM subspace can be extracted. As a result, the paper has post-selected the transmitted state within the desired OAM subspace (i.e., , , ), and calculated the post-selected density matrices. In addition, to describe the evolution of bi-photon OAM states accurately, the ensemble averages of the post-selected density matrices corresponding to different instances of the turbulent medium are computed [12,13].
Finally, we normalize the post-selected density matrix and examine the decay of entanglement by calculating the concurrence [32] from the normalized density matrix. The concurrence is plotted as a function, i.e., , and is the coherence parameter, which can be expressed by [23,33]
where , is the propagation distance, and is the optical wave number.It should be mentioned that the four optical fields are required to simulate each run of the input state. Each optical field is represented by a array of samples of the complex-valued function for the mode given in Eq. (2). Furthermore, in the paper, a number of such runs have been performed to obtain the post-selected density matrices.
3. NUMERICAL RESULTS
First, the numerical result is compared with the S&R theory [16] and the result in Ref. [11]. Here, the paper only considers the case in which both photons pass through atmospheric turbulence with wavelength , radial index , waist width , generalized exponent , inner scale , outer scale , and refraction index structure constant . This, of course, means that the evolution of the OAM entanglement is in the weak scintillation regime, where one dimensionless parameter () is required to describe the evolution of the concurrence [13].
As shown in Fig. 3, the numerical result agrees well with the result in Ref. [11] but disagree with the S&R theory curve. This difference comes from the phase structure function employing a quadratic approximation in the S&R theory.
Now the entanglement evolution of OAM photons propagating in non-Kolmogorov turbulence is investigated by the numerical simulations presented in the previous section. Additionally, the case where both photons pass through atmospheric turbulence is also considered. The results are shown in Figs. 4–7.
Figure 4 shows that the concurrence is plotted against the ratio for different values of the azimuthal mode with waist width , radial index , and wavelength . The non-Kolmogorov spectrum parameters are set as , , , and . As indicated by Fig. 4, the concurrence decays through the non-Kolmogorov turbulence, but the decay of concurrence becomes slower with the increase of the azimuthal mode, which means the entangled OAM photons with the larger azimuthal mode are less affected by turbulence. This can be understood as follows. With the azimuthal mode increasing, the OAM beam widens, and its phase front oscillates more rapidly, which implies that its spatial phase structure gets finer [11].
Figure 5 shows that the concurrence is plotted against the ratio for different values of the generalized exponent with , , , , , , and . As seen from Fig. 5, the concurrence decays slower in turbulence with the increase of the generalized exponent , thus indicating less influence on the OAM entanglement by the turbulence with the higher generalized exponent .
In Fig. 6, the concurrence is plotted against the ratio for different values of the turbulence outer scale with , , , , , and . It is deduced from Fig. 6 that the concurrence can survive longer as the turbulence outer scale decreases. This reveals that the OAM entanglement will be less affected by turbulence with a smaller outer scale. For , shown in Fig. 6, the curve for the concurrence decays as a function of the ratio increases, but at the tail there is a fluctuation behavior, which might be due to fewer statistical samples.
Figure 7 shows the concurrence plotted against the ratio for different values of the turbulence inner scale with , , , , , and . One finds from Fig. 7 that all the decay curves are nearly identical for different values of the turbulence inner scale, which means the influence of the turbulence inner scale on OAM entanglement can be ignored.
4. CONCLUSION
In conclusion, using the multiphase screen model, the paper numerically investigated the entanglement evolution of OAM photons propagating in non-Kolmogorov turbulence, especially focusing on the influences of the azimuthal mode and turbulence parameters on entanglement evolution in the weak scintillation regime. The case in which both photons passed through turbulence was considered. Our numerical results show that the entanglement decays through non-Kolmogorov turbulence, but for larger azimuthal modes, it decays more slowly under the same turbulence condition. Meanwhile, when the other parameters are fixed, the OAM entanglement is less affected by turbulence with a higher generalized exponent or a smaller turbulence outer scale. Moreover, the influence of the turbulence inner scale on OAM entanglement can be ignored. It is believed that these findings may be useful in applications in free-space optical communications.
Funding
Chinese Academy of Sciences (CAS) National Defense Innovation Foundation of China (CXJJ-16S080).
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