Skip to content
BY 4.0 license Open Access Published by De Gruyter July 27, 2020

Printing polarization and phase at the optical diffraction limit: near- and far-field optical encryption

  • Qinghua Song ORCID logo , Samira Khadir , Stéphane Vézian , Benjamin Damilano , Philippe de Mierry , Sébastien Chenot , Virginie Brandli , Romain Laberdesque , Benoit Wattellier and Patrice Genevet EMAIL logo
From the journal Nanophotonics

Abstract

Securing optical information to avoid counterfeiting and manipulation by unauthorized persons and agencies requires innovation and enhancement of security beyond basic intensity encryption. In this paper, we present a new method for polarization-dependent optical encryption that relies on extremely high-resolution near-field phase encoding at metasurfaces, down to the diffraction limit. Unlike previous intensity or color printing methods, which are detectable by the human eye, analog phase decoding requires specific decryption setup to achieve a higher security level. In this work, quadriwave lateral shearing interferometry is used as a phase decryption method, decrypting binary quick response (QR) phase codes and thus forming phase-contrast images, with phase values as low as 15°. Combining near-field phase imaging and far-field holographic imaging under orthogonal polarization illumination, we enhanced the security level for potential applications in the area of biometric recognition, secure ID cards, secure optical data storage, steganography, and communications.

1 Introduction

Information security is an important concern in daily life from civil to military applications [1], [2]. Optical encryption for information security has gained enormous attention owing to its ability to provide many degrees of freedom to encode the information relying on various optical channels such as frequency, amplitude, phase, and polarization [3], [4]. These efforts led to various encryption methods, including Lippmann plate [5], spatial correlators [6], and holograms [7]. Recently, an ultrathin artificial material with subwavelength structure called metasurface [8], [9], [10] has been developed to control the electromagnetic wave across the entire frequency range for various optical applications such as lenses [11], [12], [13], [14], [15], cloaking [16], [17], holograms [18], [19], [20], [21], polarizers [22], [23], [24], perfect absorbers [25], [26], retroreflectors [27], etc. The compactness and versatile functionality make metasurfaces perfect candidates for optical encryption. The basic idea is to leverage on different optical channels of the metasurface to encode different optical information. Proof-of-concept demonstration of metasurface spectral encoding, displaying sharp and hyper-resolved images observable under a microscope, has been demonstrated [28], [29]. Metasurfaces have also been designed to perform far-field holographic encoding using the concept of meta-holograms. The latter is the most common approach in the area of metasurface encryption using different light sources to decrypt the holographic images. A great deal of attention has been paid on the design of light source–dependent meta-hologram, such as polarization selectivity [30], [31], [32], [33], orbital angular momentum selectivity [34], [35], incoming direction of the incident light [36], [37], [38], etc. Other attempts have also been made for metasurface encryption, such as the combination of color printing and the holographic image [39], [40], image postprocessing based on spatial frequency [41], and tunable meta-hologram [42]. All of the proposed metasurface encryptions, relying either on the intensity of the color print or on the holographic image projection, are directly perceived by human eyes, which could limit their applicability for information security.

Here, we introduce a new class of optical encryption that combines the near- and far-field information. On the one hand, the near-field encryption is based on phase imaging at the metasurface plane. The information is encoded in the phase of the transmitted light without any modulation of its intensity, making the information inaccessible with a conventional microscope. In order to resolve the encoded information, one has to obtain the phase map information, which we measured in this article using quadriwave lateral shearing interferometry (QLSI) technique [43], [44], [45], [46] (see more details in Section 5). The phase-addressing capability of metasurfaces, i.e., the spatial phase distribution of the phase elements, can be scaled down to the single pixel with a pitch of 300 nm, which is beyond Abbe’s classical diffraction limit with an incident wavelength higher than 600 nm. Obviously, as to retrieve the phase information, one is using traditional optical characterization tools generally limited to diffraction limits, and it is not necessary to encode with such offensive resolution. As a proof of concept, we have considered phase pixels of about 750 nm. The proposed phase encryption could complement the class of color printing at the optical diffraction limit [28], [29] in high-density spectrally encoded optical data storage and so on. On the other hand, far-field encryption relying on the holographic image requires a full 2π phase range, which according to our results, appears to be not necessary for near-field encoding mentioned above, allowing more flexibility for realistic applications. The combination of phase and projected intensity, respectively encoded in the near field and far field, improves optical information security.

In the following section, we describe the theoretical design as well as the experimental fabrication and characterization methods. Two different examples of phase encryption are demonstrated in Section 3. The first example shows several functional phase-encoded binary quick response (QR) codes with decreasing phase-encoding values ranging from 180° down to 15° phase difference, below which the experimental realization fails to deliver readable codes. In the second example, near-field encryption, i.e., phase imaging at the metasurface plane, is multiplexed with far-field encryption, i.e., holographic image projection, to display two different “Bat” and “Batman” images.

2 Design and fabrication

The principle of the dual-mode encryption is shown in Figure 1. The metasurface consists of a birefringent dielectric meta-molecule array with Jones matrix of (Jxx00Jyy)=(eiφxx00eiφyy) (assuming full transmission of the incident wave). When a plane wave with x-polarization (Ex) illuminates the metasurface, as shown in Figure 1B (left panel), the output near field of the metasurface is Exeiφxx, which is encoded by a phase information of φxx. By locally designing different metastructures, we can get a specific phase pattern in the near field (Figure 1B, middle) and a random intensity profile in the far field (Figure 1B, right). However, the y-polarized light works in the opposite way, creating a disordered near-field phase image but encrypting a holographic image in the far field, as shown in Figure 1C.

Figure 1: Design principle of dual-mode encryption combining near-field phase imaging and far-field holographic image projection. (A) Schematic of the dual-mode encryption, in which the near field is encrypted by a phase imaging of “Bat” and the far field is encrypted by a holographic image of “Batman.” (B) Metasurface under x-polarized incidence (left panel). A phase imaging of “Bat” is retrieved by extracting the metasurface spatial phase distribution (middle panel). A random intensity profile is displayed in the far field (right panel). (C) Metasurface under y-polarized incidence (left panel). Complex holographic phase imaging is observed (middle panel). A holographic image of “Batman” is observed in the far field (right panel). “Bat” and “Batman” images are adapted from Wikemedia.org and Pexels.com, respectively.
Figure 1:

Design principle of dual-mode encryption combining near-field phase imaging and far-field holographic image projection. (A) Schematic of the dual-mode encryption, in which the near field is encrypted by a phase imaging of “Bat” and the far field is encrypted by a holographic image of “Batman.” (B) Metasurface under x-polarized incidence (left panel). A phase imaging of “Bat” is retrieved by extracting the metasurface spatial phase distribution (middle panel). A random intensity profile is displayed in the far field (right panel). (C) Metasurface under y-polarized incidence (left panel). Complex holographic phase imaging is observed (middle panel). A holographic image of “Batman” is observed in the far field (right panel). “Bat” and “Batman” images are adapted from Wikemedia.org and Pexels.com, respectively.

The design of the metasurfaces is realized using full-wave finite-difference time-domain simulations at the wavelength of 617 nm. The unit cell of the metasurface consists of semiconductor-based GaN nanopillars with a thickness of h = 1 μm and period of P = 300 nm on sapphire substrate, as shown in Figure 2A and 2B. GaN has the merits of (1) low loss in the entire visible range to design the metasurfaces with high efficiency and (2) high refractive index to manipulate the phase in the full 2π range using relatively short nanostructures. Other low loss and high refractive index like SiN and TiO2 could be alternative choices [47], [48]. The GaN nanopillars support waveguide-like modes for which the accumulated phase of the transmitted light is strongly dependent on the dimensions Lx and Ly [13]. The simulated results of the transmitted amplitude and phase, as shown in Figure 2C–2E, demonstrate that the transmitted amplitude of the metasurface is almost near unity, while the phase is widely covering a full 2π range.

Figure 2: Simulation results of metasurface consisting of GaN nanopillars on sapphire substrate. (A) Perspective view and (B) top view of the metasurface with one meta-molecule. (C) Simulated amplitude and (D) phase of the transmission with x-polarized incidence. (E) Simulated amplitude and (F) phase of the transmission with y-polarized incidence by changing the size of the GaN blocks. The white stars are the selected structures for the design of SC-MS. The purple and red stars are selected for the design of DC-MS. DC-MS: dual-channel metasurface; SC-MS: single-channel metasurface.
Figure 2:

Simulation results of metasurface consisting of GaN nanopillars on sapphire substrate. (A) Perspective view and (B) top view of the metasurface with one meta-molecule. (C) Simulated amplitude and (D) phase of the transmission with x-polarized incidence. (E) Simulated amplitude and (F) phase of the transmission with y-polarized incidence by changing the size of the GaN blocks. The white stars are the selected structures for the design of SC-MS. The purple and red stars are selected for the design of DC-MS. DC-MS: dual-channel metasurface; SC-MS: single-channel metasurface.

In this study, we propose two sets of encrypting metasurfaces, (1) a single-channel metasurface (SC-MS) encryption working only for x-polarized light and (2) a dual-channel metasurface (DC-MS) encryption that works differently for x- and y-polarized light. SC-MS keeps Ly = 120 nm, and Lx is controlled to achieve different phase information for x-polarized light, as shown by the white stars in Figure 2C and 2D. DC-MS controls both phase information of x- and y-polarized light, as shown in the purple and red stars in Figure 2C–2F. By controlling the size of Lx and Ly of the DC-MS, the transmitted phase of x-polarized light φxp and φxr (subscript “p” indicating purple stars and “r” indicating red stars) is constant along the purple and red stars, respectively, with a phase difference φxp − φxr of 90° for binary phase imaging in the near field. Meanwhile, the phase of the y-polarized light φyp and φyr varies in the 2π range for the phase encoding of the holographic image in the far field. For simplicity, the holographic phase profile has been encoded in only four phase levels.

3 Results and discussion

As a proof of concept, we demonstrate a binary QR code in the SC-MS with the binary encoded phase of φh and φl (subscripts “h” and “l” indicating high- and low-level phase, respectively) for phase imaging. The QR code consists of 29 × 29 pixels with the binary phase of φh and φl, which redirects to the CNRS-CRHEA website when it is scanned using a portable QR code scanner. Each pixel of the QR code contains 20 × 20 metastructures. Thus, the total size of the SC-MS is 174 × 174 μm. We fabricate seven samples of SC-MS with different phase contrast Δφ= φhφl ranging from 5°, 15°, 30°, 60°, 90°, 135°, to 180°. The measurement setup for phase imaging is shown in Figure 3 (see more details in Section 5.2). The measured amplitude and phase profile using QLSI are shown in Figure 4A and 4B, respectively. One can see that the QR codes are almost invisible on the amplitude images and are thus impossible to read while they are clearly visible on the phase images. When the phase contrast Δφ15°, the measured QR code phase images can be scanned and directed to the CNRS-CRHEA website, but it starts to fail when Δφ5°. In order to estimate the actual values of Δφ of the measured QR code phase images, we plot the pixel-by-pixel histograms for each image, as shown in Figure 5A. The histogram is fitted with Gaussian functions with two peaks, one corresponding to the low-level phase φl and the other corresponding to the high-level phase φh. The difference between the two peaks gives the phase contrast Δφ, while the full width at half maximum estimates the error of the extracted phase. The results for different phase contrast from 15° to 180° are shown in Figure 5A. The expected measured phase and standard deviation of φh and φl are shown in Figure 5B.

Figure 3: Measurement setup for dual-mode encryption. (A) Optical setup for far-field holographic imaging under illumination of laser at a wavelength of 617 nm. (B) Phase imaging measurement setup using QLSI. An LED with a wavelength centered at 617 nm integrated in a Köhler configuration is used as an illumination source on the metasurface with a controlled optical plane wave. The transmitted signal is then collected by the wavefront analyzer. D1 and D2 are field and aperture diaphragms, respectively. LED: light-emitting diode; LP: linear polarizer; MHM: modified Hartmann mask; QLSI: quadriwave lateral shearing interferometry; SCMOS: scientific complementary metal-oxide-semiconductor.
Figure 3:

Measurement setup for dual-mode encryption. (A) Optical setup for far-field holographic imaging under illumination of laser at a wavelength of 617 nm. (B) Phase imaging measurement setup using QLSI. An LED with a wavelength centered at 617 nm integrated in a Köhler configuration is used as an illumination source on the metasurface with a controlled optical plane wave. The transmitted signal is then collected by the wavefront analyzer. D1 and D2 are field and aperture diaphragms, respectively. LED: light-emitting diode; LP: linear polarizer; MHM: modified Hartmann mask; QLSI: quadriwave lateral shearing interferometry; SCMOS: scientific complementary metal-oxide-semiconductor.

Figure 4: Experimental results of binary QR codes using SC-MS. (A) Amplitude and (B) phase images measured by QLSI. From left to right panels, the expected binary phase contrast values are 5°, 15°, 30°, 60°, 90°, 135°, and 180° (all the phase images have the same scale of 0–180°). The QR code is designed to link the CNRS-CRHEA website (www.crhea.cnrs.fr). The phase images with binary phase contrast ≥15° can be redirected to the CNRS-CRHEA website when scanned by a portable QR code scanner, and it starts to fail for extremely small phase contrast below 5°. The size of the QR code is 174 × 174 μm. QLSI: quadriwave lateral shearing interferometry; QR: quick response; SC-MS: single-channel metasurface.
Figure 4:

Experimental results of binary QR codes using SC-MS. (A) Amplitude and (B) phase images measured by QLSI. From left to right panels, the expected binary phase contrast values are 5°, 15°, 30°, 60°, 90°, 135°, and 180° (all the phase images have the same scale of 0–180°). The QR code is designed to link the CNRS-CRHEA website (www.crhea.cnrs.fr). The phase images with binary phase contrast ≥15° can be redirected to the CNRS-CRHEA website when scanned by a portable QR code scanner, and it starts to fail for extremely small phase contrast below 5°. The size of the QR code is 174 × 174 μm. QLSI: quadriwave lateral shearing interferometry; QR: quick response; SC-MS: single-channel metasurface.

Figure 5: (A) Pixel-by-pixel histogram of the measured phase images for the different designed phase contrast of 5°, 15°, 30°, 60°, 90°, and 180°. Red curve: measured results. Blue curve: fitting curves based on two Gaussian functions. (B) The measured phase and standard deviation of binary phase imaging.
Figure 5:

(A) Pixel-by-pixel histogram of the measured phase images for the different designed phase contrast of 5°, 15°, 30°, 60°, 90°, and 180°. Red curve: measured results. Blue curve: fitting curves based on two Gaussian functions. (B) The measured phase and standard deviation of binary phase imaging.

It can be seen that when Δφ is too small, Δφ=5°, the width of each Gaussian profile is larger than Δφ, which makes the two peaks indistinguishable. The discrepancy of the measured phase mainly comes from the fabrication error because the length difference of the GaN nanopillars corresponding to the binary phase of 5° is only 2.5 nm, which is lower than our electron-beam lithography (EBL) precision. Increasing the designed phase contrast, i.e., such as Δφ15°, the two peaks become distinguishable, and the extracted phase contrasts agree well with the expected ones. However, when the phase contrast is close to 180°, such as Δφ=135° and Δφ=180°, the standard deviation is increasing owing to the phase wrapping issues from the phase retrieval algorithm used to extract the pixel phase value.

The near-field phase imaging can be further combined with far-field holographic imaging so that a dual-mode optical encryption can be achieved. Here, the phase contrast of near-field phase imaging is chosen as Δφ=90°, according to its good performance shown in Figure 5. The experimental results of DC-MS for near-field and far-field encryption are shown in Figure 6A. When the metasurface is illuminated by x-polarized light, a phase image of “Bat” measured by QLSI is shown in Figure 6B; however, owing to the designed phase in the near field only, the holographic image in the far field has no useful information, as shown in Figure 6C. Instead, considering a y-polarized light illumination, a phase profile without useful information is shown in Figure 6D, displaying a holographic image of “Batman” in the far field, as shown in Figure 6E, to achieve a dual-mode optical encryption able to combine near-field phase imaging and far-field holographic image projection.

Figure 6: Experimental results of DC-MS. (A) SEM images of the fabricated metasurface. (B) Measured phase image and (C) far-field image with x-polarized incidence. (D) Measured phase image and (E) far-field holographic image with y-polarized incidence. DC-MS: dual-channel metasurface; SEM: scanning electron microscopy.
Figure 6:

Experimental results of DC-MS. (A) SEM images of the fabricated metasurface. (B) Measured phase image and (C) far-field image with x-polarized incidence. (D) Measured phase image and (E) far-field holographic image with y-polarized incidence. DC-MS: dual-channel metasurface; SEM: scanning electron microscopy.

4 Conclusion

In conclusion, we have demonstrated a new class of optical encryption relying on dual-mode metasurfaces. Our method is able to print optical phase information at the nanoscale, which can be extracted using QLSI technique. We encoded several phase QR codes in simple binary phase images, demonstrating significant advantage with respect to conventional full-phase holographic image encryption. We demonstrated that a phase difference as low as 15° is sufficient to successfully scan the QR code and redirect to the desired website page. It is interesting to point out that gradually varying the nanopillar geometry enables analog phase addressing, offering an interesting perspective for multiplexed coding capabilities. Moreover, by combining the holographic display in the orthogonal polarization, a dual-mode optical encryption is demonstrated for near-field and far-field encryption, expanding promising applications in optical information security, data encryption, optical ID tags for authentication and verification, high-density optical data storage, etc.

5 Methods

5.1 Fabrication processes

The fabrication of the metasurface starts from growing a 1-μm GaN thin film on a double-side polished c-plane sapphire substrate using a molecular beam epitaxy RIBER system. Conventional EBL is used to pattern the GaN nanopillars. The GaN thin film is spin-coated by a double layer of 200-nm Polymethyl methacrylate (PMMA) resist (495A4) and baked on a hot plate at a temperature of 125 °C. The resist is exposed to an electron beam of 20 keV (Raith ElphyPlus, Zeiss Supra 40) considering the desired pattern and then developed using IPA:MIBK (3:1) solution. A 50-nm-thick nickel film is deposited on the sample in the e-beam evaporator, and a nickel hard mask is obtained by removing the resist through the lift-off process in acetone solution. The GaN nanopillars are obtained by reactive ion etching (Oxford system) with a plasma composed of Cl2CH4Ar gases. Finally, the nickel hard mask on the GaN nanopillars is dissolved in HCl:HNO3 (1:2) solution, revealing only the GaN nanopillar pattern on the transparent sapphire substrate.

5.2 Measurement setup

The measurement setup for far-field holographic imaging is shown in Figure 3A. A laser with a wavelength of 617 nm is used as the light source. The latter passes through a linear polarizer followed by a lens to weakly focus on the metasurface and creates a holographic image in the far field, which is captured by a projector placed after the metasurface at a distance of 10 cm. The setup for phase imaging is shown in Figure 3B. It utilizes a quantitative phase microscopy technique based on QLSI [42], [43], [44], [45]. A light-emitting diode with a wavelength centered at 617 nm integrated in a Köhler configuration is used as an illumination source with a controlled optical plane wave (controlled illuminated area and controlled numerical aperture). The light beam passing through the metasurface is collected by a microscope objective and sent to the QLSI wavefront analyzer (SID4 camera from Phasics Company) to measure both the intensity and the optical path difference of the light at the microscope’s imaging plane, coinciding with the metasurface position.


Corresponding author: Patrice Genevet, CNRS-CRHEA, Université Cote d’Azur, Rue Bernard Gregory, Sophia Antipolis, Valbonne, 06560, France, E-mail:

Award Identifier / Grant number: 639109

Acknowledgments

The authors acknowledge the support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 639109).

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: The study was supported from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 639109).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

[1] R. Anderson and T. Moore, “The economics of information security,” Science, vol. 314, pp. 610–613, 2006, https://doi.org/10.1126/science.1130992.Search in Google Scholar

[2] M. E. Whitman and H. J. Mattord, Principles of Information Security, Boston, Cengage Learning, 2011. ISBN10: 1-337-10206-7; ISBN13: 978-1-337-10206-3.Search in Google Scholar

[3] O. Matoba, T. Nomura, E. Perez-Cabre, M. S. Millan, and B. Javidi, “Optical techniques for information security,” Proc. IEEE, vol. 97, pp. 1128–1148, 2009, https://doi.org/10.1109/jproc.2009.2018367.Search in Google Scholar

[4] B. Javidi, Ed. Optical and Digital Techniques for Information Security, New York, Springer, 2005.10.1007/b105098Search in Google Scholar

[5] G. Lippmann, “Sur la théorie de la photographie des couleurs simples et composées par la méthode interférentielle,” J. Phys. Theor. Appl., vol. 3, pp. 97–107, 1894, https://doi.org/10.1051/jphystap:01894003009700.10.1051/jphystap:01894003009700Search in Google Scholar

[6] Y. Li, K. Kreske, and J. Rosen, “Security and encryption optical systems based on a correlator with significant output images,” Appl. Opt., AO, vol. 39, pp. 5295–5301, 2000, https://doi.org/10.1364/ao.39.005295.Search in Google Scholar

[7] O. Bryngdahl and F. Wyrowski, “I digital holography – computer-generated holograms. In: Wolf E., Ed., editor. Progress in Optics, 28. Amsterdam, Netherlands: Elsevier; 1990. pp. 1–86.10.1016/S0079-6638(08)70288-9Search in Google Scholar

[8] N. Yu, P. Genevet, M. A. Kats, et al., “Light propagation with phase discontinuities: generalized laws of reflection and refraction,” Science, vol. 334, pp. 333–337, 2011, https://doi.org/10.1126/science.1210713.Search in Google Scholar

[9] N. Yu and F. Capasso, “Flat optics with designer metasurfaces,” Nat. Mater., vol. 13, pp. 139–150, 2014, https://doi.org/10.1038/nmat3839.Search in Google Scholar

[10] P. Genevet, F. Capasso, F. Aieta, M. Khorasaninejad, and R. Devlin, “Recent advances in planar optics: from plasmonic to dielectric metasurfaces,” Optica, vol. 4, 2017, pp. 139–152, https://doi.org/10.1364/optica.4.000139.Search in Google Scholar

[11] M. Khorasaninejad and F. Capasso, “Metalenses: Versatile multifunctional photonic components,” Science, vol. 358, p. eaam8100, 2017, https://doi.org/10.1126/science.aam8100.Search in Google Scholar

[12] W. T. Chen, A. Y. Zhu, V. Sanjeev, et al., “A broadband achromatic metalens for focusing and imaging in the visible,” Nat. Nanotechnol., vol. 13, pp. 220–226, 2018, https://doi.org/10.1038/s41565-017-0034-6.Search in Google Scholar

[13] S. Wang, P. C. Wu, V.-C. Su, et al., “A broadband achromatic metalens in the visible,” Nat. Nanotechnol., vol. 13, pp. 227–232, 2018, https://doi.org/10.1038/s41565-017-0052-4.Search in Google Scholar

[14] C. Sun, “Shrinking the camera size: metasurface lens,” Nat. Mater., vol. 16, pp. 11–12, 2017, https://doi.org/10.1038/nmat4833.Search in Google Scholar

[15] W. M. Zhu, Q. Song, L. Yan, et al., “A flat lens with tunable phase gradient by using random access reconfigurable metamaterial,” Adv. Mater., vol. 27, pp. 4739–4743, 2015, https://doi.org/10.1002/adma.201501943.Search in Google Scholar

[16] J. Y. H. Teo, L. J. Wong, C. Molardi, and P. Genevet, “Controlling electromagnetic fields at boundaries of arbitrary geometries,” Phys. Rev. A, vol. 94, 2016, Art no. 023820, https://doi.org/10.1103/physreva.94.023820.Search in Google Scholar

[17] Y. Y. Xie, P. N. Ni, Q. H. Wang, et al., “Metasurface-integrated vertical cavity surface-emitting lasers for programmable directional lasing emissions,” Nat. Nanotechnol., vol. 15, pp. 125–130, 2020, https://doi.org/10.1038/s41565-019-0611-y.Search in Google Scholar

[18] G. Zheng, H. Mühlenbernd, M. Kenney, G. Li, T. Zentgraf, and S. Zhang, “Metasurface holograms reaching 80% efficiency,” Nat. Nanotechnol., vol. 10, pp. 308–312, 2015, https://doi.org/10.1038/nnano.2015.2.Search in Google Scholar

[19] P. Genevet, J. Lin, M. A. Kats, and F. Capasso, “Holographic detection of the orbital angular momentum of light with plasmonic photodiodes,” Nat. Commun., vol. 3, p. 1278, 2012, https://doi.org/10.1038/ncomms2293.Search in Google Scholar

[20] L. Huang, X. Chen, H. Mühlenbernd, et al., “Three-dimensional optical holography using a plasmonic metasurface,” Nat. Commun., vol. 4, p. 2808, 2013, https://doi.org/10.1038/ncomms3808.Search in Google Scholar

[21] Q. Song, A. Baroni, R. Sawavt, et al., “Ptychography retrieval of fully polarized holograms from geometric-phase metasurfaces,” Nat. Commun., vol. 11, pp. 1–8, 2020, https://doi.org/10.1038/s41467-020-16437-9.Search in Google Scholar

[22] J. K. Gansel, M. Thiel, M. S. Rill, et al., “Gold helix photonic metamaterial as broadband circular polarizer,” Science, vol. 325, pp. 1513–1515, 2009, https://doi.org/10.1126/science.1177031.Search in Google Scholar

[23] Q. H. Song, P. C. Wu, W. M. Zhu, et al., “Split Archimedean spiral metasurface for controllable GHz asymmetric transmission,” Appl. Phys. Lett., vol. 114, p. 151105, 2019, https://doi.org/10.1063/1.5084329.Search in Google Scholar

[24] Y. Z. Shi, T. Zhu, T. Zhang, et al., “Chirality-assisted lateral momentum transfer for bidirectional enantioselective separation,” Light Sci. Appl., vol. 9, pp. 1–12, 2020, https://doi.org/10.1038/s41377-020-0293-0.Search in Google Scholar

[25] G. M. Akselrod, J. Huang, T. B. Hoang, et al., “Large-area metasurface perfect absorbers from visible to near-infrared,” Adv. Mater., vol. 27, pp. 8028–8034, 2015, https://doi.org/10.1002/adma.201503281.Search in Google Scholar

[26] Q. Song, W. M. Zhu, P. C. Wu, et al., “Liquid-metal-based metasurface for terahertz absorption material: frequency-agile and wide-angle,” APL Mater., vol. 5, p. 066103, 2017, https://doi.org/10.1063/1.4985288.Search in Google Scholar

[27] L. Yan, W. M. Zhu, M. F. Karim, et al., “0.2 λ0 thick adaptive retroreflector made of spin-locked metasurface,” Adv. Mater., vol. 30, p. 1802721, 2018, https://doi.org/10.1002/adma.201802721.Search in Google Scholar

[28] K. Kumar, H. Duan, R. S. Hegde, S. C. Koh, J. N. Wei, and J. K. Yang, “Printing colour at the optical diffraction limit,” Nat. Nanotechnol., vol. 7, pp. 557–561, 2012, https://doi.org/10.1038/nnano.2012.128.Search in Google Scholar

[29] Y. Gu, L. Zhang, J. K. Yang, S. P. Yeo, and C. W. Qiu, “Color generation via subwavelength plasmonic nanostructures,” Nanoscale, vol. 7, pp. 6409–6419, 2015, https://doi.org/10.1039/c5nr00578g.Search in Google Scholar

[30] X. Luo, Y. Hu, X. Li, et al., “Integrated metasurfaces with microprints and helicity‐multiplexed holograms for real‐time optical encryption,” Adv. Opt. Mater., vol. 8, p. 1902020, 2020, https://doi.org/10.1002/adom.201902020.Search in Google Scholar

[31] R. Zhao, L. Huang, C. Tang, et al., “Nanoscale polarization manipulation and encryption based on dielectric metasurfaces,” Adv. Opt. Mater., vol. 6, p. 1800490, 2018, https://doi.org/10.1002/adom.201800490.Search in Google Scholar

[32] J. Deng, L. Deng, Z. Guan, et al., “Multiplexed anticounterfeiting meta-image displays with single-sized nanostructures,” Nano Lett., vol. 20, pp. 1830–1838, 2020, https://doi.org/10.1021/acs.nanolett.9b05053.Search in Google Scholar

[33] L. Deng, J. Deng, Z. Guan, et al., “Malus-metasurface-assisted polarization multiplexing,” Light Sci. Appl., vol. 9, p. 101, 2020, https://doi.org/10.1038/s41377-020-0327-7.Search in Google Scholar

[34] H. Ren, G. Briere, X. Fang, et al., “Metasurface orbital angular momentum holography,” Nat. Commun., vol. 10, p. 2986, 2019, https://doi.org/10.1038/s41467-019-11030-1.Search in Google Scholar

[35] X. Fang, H. Ren, and M. Gu, “Orbital angular momentum holography for high-security encryption,” Nat. Photon., vol. 14, pp. 102–108, 2020, https://doi.org/10.1038/s41566-019-0560-x.Search in Google Scholar

[36] K. Chen, G. Ding, G. Hu, et al., “Directional Janus metasurface,” Adv. Mater., vol. 32, p. 1906352, 2020, https://doi.org/10.1002/adma.201906352.Search in Google Scholar

[37] Y. Chen, X. Yang, and J. Gao, “3D Janus plasmonic helical nanoapertures for polarization-encrypted data storage,” Light Sci. Appl., vol. 8, p. 45, 2019, https://doi.org/10.1038/s41377-019-0156-8.Search in Google Scholar

[38] D. Frese, Q. Wei, Y. Wang, L. Huang, and T. Zentgraf, “Nonreciprocal asymmetric polarization encryption by layered plasmonic metasurfaces,” Nano Lett., vol. 19, pp. 3976–3980, 2019, https://doi.org/10.1021/acs.nanolett.9b01298.Search in Google Scholar

[39] G. Yoon, D. Lee, K. T. Nam, and J. Rho, ““Crypto-display” in dual-mode metasurfaces by simultaneous control of phase and spectral responses,” ACS Nano, vol. 12, pp. 6421–6428, 2018, https://doi.org/10.1021/acsnano.8b01344.Search in Google Scholar

[40] K. T. P. Lim, H. Liu, Y. Liu, and J. K. W. Yang, “Holographic colour prints for enhanced optical security by combined phase and amplitude control,” Nat. Commun., vol. 10, p. 25, 2019, https://doi.org/10.1038/s41467-018-07808-4.Search in Google Scholar

[41] J. Deng, Y. Yang, J. Tao, et al., “Spatial frequency multiplexed meta-holography and meta-nanoprinting,” ACS Nano, vol. 13, pp. 9237–9246, 2019, https://doi.org/10.1021/acsnano.9b03738.Search in Google Scholar

[42] J. Li, S. Kamin, G. Zheng, F. Neubrech, S. Zhang, and N. Liu, “Addressable metasurfaces for dynamic holography and optical information encryption,” Sci. Adv., vol. 4, p. eaar6768, 2018, https://doi.org/10.1126/sciadv.aar6768.Search in Google Scholar

[43] P. Bon, G. Maucort, B. Wattellier, and S. Monneret, “Quadriwave lateral shearing interferometry for quantitative phase microscopy of living cells,” Opt. Express, vol. 17, p. 13080, 2009, https://doi.org/10.1364/oe.17.013080.Search in Google Scholar

[44] S. Khadir, D. Andrén, P. C. Chaumet, et al., “Full optical characterization of single nanoparticles using quantitative phase imaging,” Optica, vol. 7, p. 243, 2020, https://doi.org/10.1364/optica.381729.Search in Google Scholar

[45] S. Khadir, D. Andrén, D. Verre, et al., “optical imaging and characterization of graphene and other 2D materials using quantitative phase microscopy,” ACS Photonics, vol. 4, no. 12, pp. 3130–3139, 2017.10.1021/acsphotonics.7b00845Search in Google Scholar

[46] J. Primot and N. Guérineau, “Extended Hartmann test based on the pseudoguiding property of a Hartmann mask completed by a phase chessboard,” Appl. Optic., vol. 39, pp. 5715–5720, 2000, https://doi.org/10.1364/ao.39.005715.Search in Google Scholar

[47] S. Colburn, A. Zhan, E. Bayati, et al., “Broadband transparent and CMOS-compatible flat optics with silicon nitride metasurfaces,” Opt. Mater. Express, vol. 8, pp. 2330–2343, 2018, https://doi.org/10.1364/ome.8.002330.Search in Google Scholar

[48] M. Khorasaninejad, W. T. Chen, R. C. Devlin, J. Oh, A. Y. Zhu, and F. Capasso, “Metalenses at visible wavelengths: diffraction-limited focusing and subwavelength resolution imaging,” Science, vol. 352, pp. 1190–1194, 2016, https://doi.org/10.1126/science.aaf6644.Search in Google Scholar

Received: 2020-06-29
Accepted: 2020-07-08
Published Online: 2020-07-27

© 2020 Qinghua Song et al., published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Downloaded on 10.5.2024 from https://www.degruyter.com/document/doi/10.1515/nanoph-2020-0352/html
Scroll to top button