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Optimal photonic indistinguishability tests in multimode networks

DOI:10.1016/j.scib.2018.10.009 期刊:Science Bulletin 出版年份:2018 更新时间:2025-09-23 15:23:52
摘要: Particle indistinguishability is at the heart of quantum statistics that regulates fundamental phenomena such as the electronic band structure of solids, Bose-Einstein condensation and superconductivity. Moreover, it is necessary in practical applications such as linear optical quantum computation and simulation, in particular for Boson Sampling devices. It is thus crucial to develop tools to certify genuine multiphoton interference between multiple sources. Our approach employs the total variation distance to find those transformations that minimize the error probability in discriminating the behaviors of distinguishable and indistinguishable photons. In particular, we show that so-called Sylvester interferometers are near-optimal for this task. By using Bayesian tests and inference, we numerically show that Sylvester transformations largely outperform most Haar-random unitaries in terms of sample size required. Furthermore, we experimentally demonstrate the efficacy of the transformation using an efficient 3D integrated circuits in the single- and multiple-source cases. We then discuss the extension of this approach to a larger number of photons and modes. These results open the way to the application of Sylvester interferometers for optimal assessment of multiphoton interference experiments.
作者: Niko Viggianiello,Fulvio Flamini,Marco Bentivegna,Nicolò Spagnolo,Andrea Crespi,Daniel J. Brod,Ernesto F. Galv?o,Roberto Osellame,Fabio Sciarrino
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To develop tools to certify genuine multiphoton interference between multiple sources by finding optimal interferometric transformations that minimize the error probability in discriminating between distinguishable and indistinguishable photons, particularly using Sylvester interferometers.

Sylvester interferometers are near-optimal for discriminating photon indistinguishability in multimode networks, requiring fewer experimental samples for confident discrimination compared to other interferometers like Fourier transforms. Experimental demonstrations in integrated photonic circuits confirm their efficacy, and Bayesian methods provide efficient validation and parameter estimation. This approach is promising for applications in quantum information processing, such as Boson Sampling and diagnostic tools for quantum optical devices.

The approach is primarily validated for two-photon experiments in 4-mode and 8-mode interferometers, with extensions to more photons and modes being numerical and not fully experimental. Experimental imperfections such as manufacturing errors and partial photon indistinguishability can reduce TVD values. The method may not be optimal for all scenarios, especially with larger numbers of photons where non-Hadamard interferometers might perform better.

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