Characterization of multimode linear optical networks

Hoch, Francesco; Giordani, Taira; Spagnolo, Nicolò; Crespi, Andrea; Osellame, Roberto; Sciarrino, Fabio

doi:10.1117/1.apn.2.1.016007

Cited by 3 publications

(2 citation statements)

References 49 publications

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“…Interesting topics for future work include developing more efficient acceleration methods. While lightweight networks 61 with higher fitting ability are desirable, optical neural networks may be a possible way for such a fast reconstruction task 62 , 63 …”

Section: Discussionmentioning

confidence: 99%

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Deep image prior plus sparsity prior: toward single-shot full-Stokes spectropolarimetric imaging with a multiple-order retarder

Han

et al. 2023

Adv. Photon. Nexus

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Compressive full-Stokes spectropolarimetric imaging (SPI), integrating passive polarization modulator (PM) into general imaging spectrometer, is powerful enough to capture high-dimensional information via incomplete measurement; a reconstruction algorithm is needed to recover 3D data cube (x , y , and λ) for each Stokes parameter. However, existing PMs usually consist of complex elements and enslave to accurate polarization calibration, current algorithms suffer from poor imaging quality and are subject to noise perturbation. In this work, we present a single multiple-order retarder followed a polarizer to implement passive spectropolarimetric modulation. After building a unified forward imaging model for SPI, we propose a deep image prior plus sparsity prior algorithm for high-quality reconstruction. The method based on untrained network does not need training data or accurate polarization calibration and can simultaneously reconstruct the 3D data cube and achieve self-calibration. Furthermore, we integrate the simplest PM into our miniature snapshot imaging spectrometer to form a single-shot SPI prototype. Both simulations and experiments verify the feasibility and outperformance of our SPI scheme. It provides a paradigm that allows general spectral imaging systems to become passive full-Stokes SPI systems by integrating the simplest PM without changing their intrinsic mechanism.

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Section: Discussionmentioning

confidence: 99%

“…While lightweight networks 61 with higher fitting ability are desirable, optical neural networks may be a possible way for such a fast reconstruction task. 62,63…”

Section: Acceleration Strategymentioning

confidence: 99%

Deep image prior plus sparsity prior: toward single-shot full-Stokes spectropolarimetric imaging with a multiple-order retarder

Han

et al. 2023

Adv. Photon. Nexus

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Experimental certification of contextuality, coherence, and dimension in a programmable universal photonic processor

Giordani,

Wagner,

Esposito

et al. 2023

Sci. Adv.

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Quantum superposition of high-dimensional states enables both computational speed-up and security in cryptographic protocols. However, the exponential complexity of tomographic processes makes certification of these properties a challenging task. In this work, we experimentally certify coherence witnesses tailored for quantum systems of increasing dimension using pairwise overlap measurements enabled by a six-mode universal photonic processor fabricated with a femtosecond laser writing technology. In particular, we show the effectiveness of the proposed coherence and dimension witnesses for qudits of dimensions up to 5. We also demonstrate advantage in a quantum interrogation task and show it is fueled by quantum contextuality. Our experimental results testify to the efficiency of this approach for the certification of quantum properties in programmable integrated photonic platforms.

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High-fidelity and polarization-insensitive universal photonic processors fabricated by femtosecond laser writing

Pentangelo,

Di Giano,

Piacentini

et al. 2024

Nanophotonics

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Universal photonic processors (UPPs) are fully programmable photonic integrated circuits that are key components in quantum photonics. With this work, we present a novel platform for the realization of low-loss, low-power, and high-fidelity UPPs based on femtosecond laser writing (FLW) and compatible with a large wavelength spectrum. In fact, we demonstrate different UPPs, tailored for operation at 785 nm and 1550 nm, providing similar high-level performances. Moreover, we show that standard calibration techniques applied to FLW-UPPs result in Haar random polarization-insensitive photonic transformations implemented with average amplitude fidelity as high as 0.9979 at 785 nm (0.9970 at 1550 nm), with the possibility of increasing the fidelity over 0.9990 thanks to novel optimization algorithms. Besides being the first demonstrations of polarization-insensitive UPPs, these devices show the highest level of control and reconfigurability ever reported for a FLW circuit. These qualities will be greatly beneficial to applications in quantum information processing.

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Characterization of multimode linear optical networks

Cited by 3 publications

References 49 publications

Deep image prior plus sparsity prior: toward single-shot full-Stokes spectropolarimetric imaging with a multiple-order retarder

Deep image prior plus sparsity prior: toward single-shot full-Stokes spectropolarimetric imaging with a multiple-order retarder

Experimental certification of contextuality, coherence, and dimension in a programmable universal photonic processor

High-fidelity and polarization-insensitive universal photonic processors fabricated by femtosecond laser writing

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