Polarization imaging is essential to reveal rich information of the vectorial nature of microwaves. However, selective imaging of specific polarization components with subwavelength resolution remains challenging. Here, we propose atom-based polarization holography for all-optical polarization-filtered subwavelength imaging in microwave regime. A kind of atomic polarization holograms is recorded through two-photon excited anisotropy in a four-level quantum system and its diffraction properties are characterized using Jones theory combined with optical Bloch equation. It is found that the polarization information of microwaves can be actively manipulated to holographic diffracted light fields. Moreover, polarization imaging of atom-based polarization holography with a spatial resolution of one-fortieth wavelength (λ/40) has been realized experimentally through microwave-to-optical conversion. The function of polarization filtering is demonstrated by optical holographic diffraction and the microwave component with specific polarization state can be selectively imaged from superimposed polarized microwaves. Our work is expected to enable applications in polarization filtering and subwavelength imaging. Polarization imaging reveals vectorial nature of microwaves, but selective imaging of specific polarization components with subwavelength resolution remains challenging. The authors propose atom-based polarization holography to optically filter microwave polarizations from complex mixed signals via holographic diffraction, achieving λ/40 imaging resolution.Polarization imaging is essential to reveal rich information of the vectorial nature of microwaves. However, selective imaging of specific polarization components with subwavelength resolution remains challenging. Here, we propose atom-based polarization holography for all-optical polarization-filtered subwavelength imaging in microwave regime. A kind of atomic polarization holograms is recorded through two-photon excited anisotropy in a four-level quantum system and its diffraction properties are characterized using Jones theory combined with optical Bloch equation. It is found that the polarization information of microwaves can be actively manipulated to holographic diffracted light fields. Moreover, polarization imaging of atom-based polarization holography with a spatial resolution of one-fortieth wavelength (λ/40) has been realized experimentally through microwave-to-optical conversion. The function of polarization filtering is demonstrated by optical holographic diffraction and the microwave component with specific polarization state can be selectively imaged from superimposed polarized microwaves. Our work is expected to enable applications in polarization filtering and subwavelength imaging. Polarization imaging reveals vectorial nature of microwaves, but selective imaging of specific polarization components with subwavelength resolution remains challenging. The authors propose atom-based polarization holography to optically filter microwave polarizations from complex mixed signals via holographic diffraction, achieving λ/40 imaging resolution.

Communications PhysicsApr 19, 20251 citation

Polarization and Polar Coding

Ivana Marić, Shlomo Shitz Shamai, Osvaldo Simeone

Cambridge University Press eBooksMar 31, 20220 citations

A novel enhanced quantum image representation based on bit-planes for log-polar coordinates

Xiao Chen, Zhihao Liu, Hanwu Chen +1 more

Quantum image representation has a significant impact in quantum image processing. In this paper, a bit-plane representation for log-polar quantum images (BRLQI) is proposed, which utilizes $(n+4)$ or $(n+6)$ qubits to store and process a grayscale or RGB color image of $2^n$ pixels. Compared to a quantum log-polar image (QUALPI), the storage capacity of BRLQI improves 16 times. Moreover, several quantum operations based on BRLQI are proposed, including color information complement operation, bit-planes reversing operation, bit-planes translation operation and conditional exchange operations between bit-planes. Combining the above operations, we designed an image scrambling circuit suitable for the BRLQI model. Furthermore, comparison results of the scrambling circuits indicate that those operations based on BRLQI have a lower quantum cost than QUALPI. In addition, simulation experiments illustrate that the proposed scrambling algorithm is effective and efficient.Quantum image representation has a significant impact in quantum image processing. In this paper, a bit-plane representation for log-polar quantum images (BRLQI) is proposed, which utilizes $(n+4)$ or $(n+6)$ qubits to store and process a grayscale or RGB color image of $2^n$ pixels. Compared to a quantum log-polar image (QUALPI), the storage capacity of BRLQI improves 16 times. Moreover, several quantum operations based on BRLQI are proposed, including color information complement operation, bit-planes reversing operation, bit-planes translation operation and conditional exchange operations between bit-planes. Combining the above operations, we designed an image scrambling circuit suitable for the BRLQI model. Furthermore, comparison results of the scrambling circuits indicate that those operations based on BRLQI have a lower quantum cost than QUALPI. In addition, simulation experiments illustrate that the proposed scrambling algorithm is effective and efficient.

Quantum Information and ComputationDec 28, 20211 citation

Polarization

Jochen Pade

Undergraduate lecture notes in physicsNov 7, 20130 citations

Quantum polarized image encryption — A secure communication

Padmapriya Praveenkumar, G. Dhanalakshmi, K. Thenmozhi +2 more

This paper proposes an encryption scheme, where bit-XOR operation between the rows of quantum polarization angles 0°, 45°, 90°, 135° and a key generated by quantum polarization angles is done. Then the bit-XORed rows are swapped from 0°to 45°and 90° to 135°. Then the image is divided into four blocks and bit-XOR operation is performed between each tile and a key generated using quantum polarization angles. Then the tiles are concatenated to form an image. The resultant image is encrypted by random permutation and bit-XOR operation is performed with randomly generated key to form the final encrypted image.This paper proposes an encryption scheme, where bit-XOR operation between the rows of quantum polarization angles 0°, 45°, 90°, 135° and a key generated by quantum polarization angles is done. Then the bit-XORed rows are swapped from 0°to 45°and 90° to 135°. Then the image is divided into four blocks and bit-XOR operation is performed between each tile and a key generated using quantum polarization angles. Then the tiles are concatenated to form an image. The resultant image is encrypted by random permutation and bit-XOR operation is performed with randomly generated key to form the final encrypted image.

International Conference on Computer Communication and Informatics (ICCCI)Jan 1, 20171 citation

Quantum image representation has a significant impact in quantum image processing. In this paper, a bit-plane representation for log-polar quantum images (BRLQI) is proposed, which utilizes

(n+4)

(n+6)

qubits to store and process a grayscale or RGB color image of

2^n

pixels. Compared to a quantum log-polar image (QUALPI), the storage capacity of BRLQI improves 16 times. Moreover, several quantum operations based on BRLQI are proposed, including color information complement operation, bit-planes reversing operation, bit-planes translation operation and conditional exchange operations between bit-planes. Combining the above operations, we designed an image scrambling circuit suitable for the BRLQI model. Furthermore, comparison results of the scrambling circuits indicate that those operations based on BRLQI have a lower quantum cost than QUALPI. In addition, simulation experiments illustrate that the proposed scrambling algorithm is effective and efficient.