Generation and sampling of quantum states of light in a silicon chip

Paesani, Stefano; Ding, Yunhong; Santagati, Raffaele; Chakhmakhchyan, Levon; Vigliar, Caterina; Rottwitt, Karsten; Oxenløwe, Leif Katsuo; Wang, J.; Thompson, Mark G.; Laing, Anthony

doi:10.1038/s41567-019-0567-8

Cited by 217 publications

(176 citation statements)

References 40 publications

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“…Paesani et al. first experimentally demonstrated this on‐chip boson sampling setting, and the sketch map of the silicon circuit is shown in Figure . These authors used a degenerate pump to prepare multiple nondegenerate photon pairs for scattershot boson sampling and a nondegenerate pump to prepare multiple single‐mode squeezed states for Gaussian boson sampling.…”

Section: Multiphoton State Preparationmentioning

confidence: 99%

“…The silicon chip integrates four SFWM spiral photon sources and twelve continuously coupled waveguides with a network of multimode interferences (MMIs) and grating couplers; the asymmetric MZ interferometers (AMZIs) separate idler (blue) and signal (red) photons, and remove pump light (purple). Reproduced with permission . Copyright 2019, Springer Nature.…”

Section: Multiphoton State Preparationmentioning

confidence: 99%

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Progress on Integrated Quantum Photonic Sources with Silicon

2019

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The high stability and scalability of integrated circuits make them a reliable and practical platform for photonic quantum information processing. In various platforms for quantum photonic integrated circuits, the silicon‐on‐insulator technology, with its strong nonlinear effect and mature fabrication technology, has gradually emerged in the preparation of quantum photonic sources. This report presents a review of this series of research advances in the preparation of a quantum photonic source, based on the spontaneously four‐wave mixing process in a silicon waveguide, especially chip‐scale entangled states that have been realized in recent years.

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Section: Multiphoton State Preparationmentioning

confidence: 99%

Section: Multiphoton State Preparationmentioning

confidence: 99%

Progress on Integrated Quantum Photonic Sources with Silicon

2019

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“…Recent proposals use twophoton interference for the realization of two-qubit gates, essential elements for photon-based quantum computing schemes [6]. Multiphoton interference is at the core of the computational complexity of linear optical networks, as exemplified by the Boson Sampling problem [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. This problem, solved naturally by multiphoton interference, shows that simulating the dynamics of indistinguishable photons is likely to be hard for classical computers, which also suggests that certification of genuine multiphoton interference is a difficult problem [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Experimental quantification of four-photon indistinguishability

et al. 2020

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Photon indistinguishability plays a fundamental role in information processing, with applications such as linear-optical quantum computation and metrology. It is then necessary to develop appropriate tools to quantify the amount of this resource in a multiparticle scenario. Here we report a four-photon experiment in a linear-optical interferometer designed to simultaneously estimate the degree of indistinguishability between three pairs of photons. The interferometer design dispenses with the need of heralding for parametric down-conversion sources, resulting in an efficient and reliable optical scheme. We then use a recently proposed theoretical framework to quantify fourphoton indistinguishability, as well as to obtain bounds on three unmeasured two-photon overlaps. Our findings are in high agreement with the theory, and represent a new resource-effective technique for the characterization of multiphoton interference.

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“…On the other hand, its classical simulation involves computing permanents of Gaussian complex matrices [6], which is likely to be classically intractable, even in approximation cases [7]. The classical hardness of boson sampling attracts enormous efforts to build large-scale physical devices to beat classical computers, and remarkable achievements have been made [8][9][10][11][12][13][14][15][16][17][18]. It is promising to show quantum advantage via boson sampling.…”

Section: Introductionmentioning

confidence: 99%

Sample caching Markov chain Monte Carlo approach to boson sampling simulation

Liu

Xiong

et al. 2020

New J. Phys.

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Boson sampling is a promising candidate for quantum supremacy. It requires to sample from a complicated distribution, and is trusted to be intractable on classical computers. Among the various classical sampling methods, the Markov chain Monte Carlo method is an important approach to the simulation and validation of boson sampling. This method however suffers from the severe sample loss issue caused by the autocorrelation of the sample sequence. Addressing this, we propose the sample caching Markov chain Monte Carlo method that eliminates the correlations among the samples, and prevents the sample loss at the meantime, allowing more efficient simulation of boson sampling. Moreover, our method can be used as a general sampling framework that can benefit a wide range of sampling tasks, and is particularly suitable for applications where a large number of samples are taken.

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Generation and sampling of quantum states of light in a silicon chip

Cited by 217 publications

References 40 publications

Progress on Integrated Quantum Photonic Sources with Silicon

Progress on Integrated Quantum Photonic Sources with Silicon

Experimental quantification of four-photon indistinguishability

Sample caching Markov chain Monte Carlo approach to boson sampling simulation

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