Emulating quantum computing with optical matrix multiplication DOI Creative Commons
Mwezi Koni, Hadrian Bezuidenhout, Isaac Nape

et al.

APL Photonics, Journal Year: 2024, Volume and Issue: 9(10)

Published: Oct. 1, 2024

Optical computing harnesses the speed of light to perform vector-matrix operations efficiently. It leverages interference, a cornerstone quantum algorithms, enable parallel computations. In this work, we interweave with classical structured by formulating process photonic matrix multiplication using mechanical principles such as state superposition and subsequently demonstrate well-known algorithm, namely, Deutsch–Jozsa’s algorithm. This is accomplished elucidating inherent tensor product structure within Cartesian transverse degrees freedom light, which main resource for optical multiplication. To end, establish discrete basis localized Gaussian modes arranged in lattice formation operation Hadamard gate. Leveraging reprogrammable digital capabilities spatial modulators, coupled Fourier transforms lenses, our approach proves adaptable various algorithms. Therefore, work advances use information processing.

Language: Английский

Advances in quantum imaging DOI
Hugo Defienne, Warwick P. Bowen, Maria V. Chekhova

et al.

Nature Photonics, Journal Year: 2024, Volume and Issue: 18(10), P. 1024 - 1036

Published: Sept. 30, 2024

Language: Английский

Citations

14
Quantum Ghost Imaging by Sparse Spatial Mode Reconstruction DOI Creative Commons
Fazilah Nothlawala, Chané Moodley,

Neelan Gounden

et al.

Advanced Quantum Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Abstract In a conventional quantum imaging experiment, the image of object is retrieved directly with single photon camera technology, or computationally single‐pixel detector and pixelated projective masks. all these approaches, resolution dictated by pixel detection devices. this paper, traditional spatial basis pixels replaced modes, exploiting their unique features to enhance fidelity improve reconstruction accuracy through modal sparsity. This approach can be used even when modes are not orthogonal, demonstrating principle highly efficient phase‐only approximations basis. By numerical simulation experimental analysis, advantages illustrated, which include faster convergence object, higher signals fidelity, demonstrated an order magnitude less masks than approaches for same in outcome. Unlike pixels, detectors, opening path high‐resolution complex objects.

Language: Английский

Citations

1
Physics-driven deep learning for high-fidelity single-photon ghost imaging DOI
Chongyang Zhang, Zhicheng Yu, Siao Cai

et al.

Optics Letters, Journal Year: 2025, Volume and Issue: 50(5), P. 1719 - 1719

Published: Feb. 7, 2025

Single-photon detection has significant potential in the field of imaging due to its high sensitivity and been widely applied across various domains. However, achieving spatial depth resolution through scattering media remains challenging because limitations low light intensity, background noise, inherent time jitter detector. This paper proposes a physics-driven, learning-based photon-detection ghost method address these challenges. By co-designing computational system network, we integrate reconstruction more closely surpass physical limitations. Fringe patterns are employed encode information object into different channels an image cube. A specialized fusion network with attention mechanisms is then designed extract inter-depth correlation features, enabling super-resolution at 256 × pixels. Experimental results demonstrate that proposed presents superior performance scenarios, offering compact cost-effective alternative for imaging.

Language: Английский

Citations

0
How a thirty-year-old quantum tale of two photons became ghost imaging DOI Creative Commons
Andrew Forbes, Fazilah Nothlawala

Communications Physics, Journal Year: 2025, Volume and Issue: 8(1)

Published: April 19, 2025

Language: Английский

Citations

0
Quantum Correlation Enhanced Optical Imaging DOI Creative Commons

Siddhant Vernekar,

Jolly Xavier

Quantum Beam Science, Journal Year: 2024, Volume and Issue: 8(3), P. 19 - 19

Published: Aug. 2, 2024

Quantum correlations, especially time are crucial in ghost imaging for significantly reducing the background noise on one hand while increasing resolution. Moreover, correlations serve as a critical reference, distinguishing between signal and noise, which turn enable clear visualization of biological samples. also addresses challenge involved delicate structures with minimal photon exposure sample damage. Here, we explore recent progress quantum correlation-based imaging, notably its impact secure remote sensing protocols well imaging. We exploit characteristics heralded single-photon sources (HSPS) combined decoy state methods This method uses Key Distribution (QKD) principles to reduce measurement uncertainties protect data integrity. It is highly effective low-photon number regimes producing high-quality, noise-reduced images. The versatility WCSs (WCS) discussed, highlighting their suitability scenarios requiring higher numbers. emphasize dual advantages these techniques: improving image quality through reduction enhancing security encryption, suggesting significant potential various applications, from communication.

Language: Английский

Citations

3
Advances and Challenges of Single‐Pixel Imaging Based on Deep Learning DOI
Kai Song, Yaoxing Bian, Dong Wang

et al.

Laser & Photonics Review, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

Abstract Single‐pixel imaging technology can capture images at wavelengths outside the reach of conventional focal plane array detectors. However, limited image quality and lengthy computational times for iterative reconstruction still hinder its practical application. Recently, single‐pixel based on deep learning has attracted a lot attention due to exceptional fast speed. In this review, an overview current status, latest advancements technologies in field are provided. Initially, fundamental principles learning, followed by discussion their integration associated benefits presented. Subsequently, comprehensive review is conducted various domains imaging, covering super‐resolution through scattering media, photon‐level optical encryption color image‐free sensing. Finally, open challenges potential solutions discussed.

Language: Английский

Citations

2
Translated object identification for efficient ghost imaging DOI Creative Commons
Alice Ruget, Chané Moodley, Andrew Forbes

et al.

Optics Express, Journal Year: 2024, Volume and Issue: 32(23), P. 41057 - 41057

Published: Oct. 21, 2024

Alignment of a single-pixel quantum ghost imaging setup is complex and requires extreme precision. Due to misalignment, easily created by human error in the alignment process, reconstructed images are often translated off central axis. This becomes problematic for intelligent object detection identification fast cases, as these algorithms unable achieve early image identification. Here, we implemented U-net algorithm correctly recognize reconstruction stage regardless any off-axis translation. The was trained on uniquely curated blurred, noised, dataset. We achieved 5× reduction speeds four different translation directions.

Language: Английский

Citations

1
Emulating quantum computing with optical matrix multiplication DOI Creative Commons
Mwezi Koni, Hadrian Bezuidenhout, Isaac Nape

et al.

APL Photonics, Journal Year: 2024, Volume and Issue: 9(10)

Published: Oct. 1, 2024

Optical computing harnesses the speed of light to perform vector-matrix operations efficiently. It leverages interference, a cornerstone quantum algorithms, enable parallel computations. In this work, we interweave with classical structured by formulating process photonic matrix multiplication using mechanical principles such as state superposition and subsequently demonstrate well-known algorithm, namely, Deutsch–Jozsa’s algorithm. This is accomplished elucidating inherent tensor product structure within Cartesian transverse degrees freedom light, which main resource for optical multiplication. To end, establish discrete basis localized Gaussian modes arranged in lattice formation operation Hadamard gate. Leveraging reprogrammable digital capabilities spatial modulators, coupled Fourier transforms lenses, our approach proves adaptable various algorithms. Therefore, work advances use information processing.

Language: Английский

Citations

0