Quantum-inspired computational imaging

Altmann, Yoann; McLaughlin, Stephen; Padgett, Miles J.; Goyal, Vivek K; Hero, Alfred O.; Faccio, Daniele

doi:10.1126/science.aat2298

Cited by 164 publications

(83 citation statements)

References 87 publications

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“…As we have seen, quantum imaging has allowed to test quantum mechanic phenomena and also enabled the development of new imaging protocols. Quantum imaging has also contributed to the emergence of new 'quantum inspired' imaging protocols like classical ghost imaging [157] or single pixel camera implementations [162]. The emergence of new, more efficient photon-counting cameras -such as superconducting nano-wires, single photon detector arrays, very low noise back-sideillumination CMOS technologies, and new sources like quantum dots and exotic non-linear sources, that are currently under development -gives confidence regarding the future of quantum imaging schemes that should soon reach the performance levels required to deliver practical implementations.…”

Section: Discussionmentioning

confidence: 99%

“…The main advantage of quantum light is found at low light levels, where it exhibits greater visibility and a greater signal to noise ratio [157,159]. Nevertheless, classical ghost imaging techniques have inspired new type of imaging based on the use of classical correlations [160,161,162]. For an overview of the comparison between classical and quantum ghost imaging, see [157,163,164].…”

Section: Ghost Imagingmentioning

confidence: 99%

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Imaging with quantum states of light

et al. 2019

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The production of pairs of entangled photons simply by focusing a laser beam onto a crystal with a non-linear optical response was used to test quantum mechanics and to open new approaches in imaging. The development of the latter was enabled by the emergence of single photon sensitive cameras able to characterize spatial correlations and high-dimensional entanglement. Thereby new techniques emerged such as the ghost imaging of objectswhere the quantum correlations between photons reveal the image from photons that have never interacted with the object -or the imaging with undetected photons by using nonlinear interferometers. Additionally, quantum approaches in imaging can also lead to an improvement in the performance of conventional imaging systems. These improvements can be obtained by means of image contrast, resolution enhancement that exceed the classical limit and acquisition of sub-shot noise phase or amplitude images. In this review we discuss the application of quantum states of light for advanced imaging techniques.

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Section: Discussionmentioning

confidence: 99%

Section: Ghost Imagingmentioning

confidence: 99%

Imaging with quantum states of light

et al. 2019

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“…Note however that τ (h; f XD ) is not the ML estimator with dead time effects (even without quantization error), because in this case the joint PDF does not factorize as product of the marginals. While one can obtain the exact joint PDF from the transition PDF (6) and the marginal PDF f XD , the true ML estimator is inconvenient to implement. Therefore, τ (h; f XD ) is used in our simulations.…”

Section: A Ranging With True Acquisition Parametersmentioning

confidence: 99%

“…Time-correlated single photon counting (TCSPC) is a powerful technique for measuring the fast, time-dependent responses of actively illuminated systems. Commonly used for fluorescence lifetime imaging (FLIM) [1], TCSPC has also been applied to optical quantum information applications [2], light detection and ranging (lidar) [3], and non-line-of-sight (NLOS) imaging [4], [5], among others [6]. TCSPC is particularly useful for lidar because the single-photon sensitivity allows for lower-intensity signal returns, either from weaker illuminations or from distant, oblique-angled, or otherwise non-cooperative targets [7].…”

Section: Introductionmentioning

confidence: 99%

Dead Time Compensation for High-Flux Ranging

Rapp

Dawson

et al. 2019

IEEE Trans. Signal Process.

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Dead time effects have been considered a major limitation for fast data acquisition in various time-correlated single photon counting applications, since a commonly adopted approach for dead time mitigation is to operate in the low-flux regime where dead time effects can be ignored. Through the application of lidar ranging, this work explores the empirical distribution of detection times in the presence of dead time and demonstrates that an accurate statistical model can result in reduced ranging error with shorter data acquisition time when operating in the high-flux regime. Specifically, we show that the empirical distribution of detection times converges to the stationary distribution of a Markov chain. Depth estimation can then be performed by passing the empirical distribution through a filter matched to the stationary distribution. Moreover, based on the Markov chain model, we formulate the recovery of arrival distribution from detection distribution as a nonlinear inverse problem and solve it via provably convergent mathematical optimization. By comparing per-detection Fisher information for depth estimation from high-and low-flux detection time distributions, we provide an analytical basis for possible improvement of ranging performance resulting from the presence of dead time. Finally, we demonstrate the effectiveness of our formulation and algorithm via simulations of lidar ranging.Index Terms-Dead time, high-flux ranging, lidar, Markov chain, nonlinear inverse, single-photon detection.J. Rapp and Y. Ma contributed equally to this work.

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“…One unexpected and interesting option that attracts a lot of attention is the implementation of classical logical gates whose design is inspired by counterpart quantum gates [17,18,19,20,21,22,23,24,25,26,27]. They are generally much easier to implement and make use of intense beams.…”

Section: Introductionmentioning

confidence: 99%

Quantum-inspired Fredkin gate based on spatial modes of light

et al. 2020

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Distinguishing between strings of data or waveforms is at the core of multiple applications in information technologies. In a quantum language the task is to design protocols to differentiate quantum states. Quantum-based technologies promises to go beyond the capabilities offered by technologies based on classical principles. However the implementation of the logical gates that are the core of these systems is challenging since they should overcome quantum decoherence, low probability of success and are prone to errors. One unexpected contribution of considering ideas in the quantum world is to inspire similar solutions in the classical world (quantum-inspired technologies), protocols that aim at mimicking particular features of quantum algorithms. This is based on features of quantum physics also shared by waves in the classical world, such it is the case of interference or entanglement between degrees of freedom of a single particle. Here we demonstrate in a proof-ofconcept experiment a new type of quantum-inspired protocol based on the idea of quantum fingerprinting (Phys. Rev. Lett. 87, 167902, 2001). Information is encoded on optical beams with orbital angular momentum (OAM). These beams allow to implement a crucial element of our system, a new type of Fredkin gate or polarization-controlled SWAP operation that exchange data between OAM beams. The protocols can evaluate the similarity between pairs of waveforms and strings of bits and quarts without unveiling the information content of the data. 1 arXiv:1911.06689v2 [physics.optics]

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Quantum-inspired computational imaging

Cited by 164 publications

References 87 publications

Imaging with quantum states of light

Imaging with quantum states of light

Dead Time Compensation for High-Flux Ranging

Quantum-inspired Fredkin gate based on spatial modes of light

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