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Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-55877-z
Abstract: The implementation of large-scale universal quantum computation represents a challenging and ambitious task on the road to quantum processing of information. In recent years, an intermediate approach has been pursued to demonstrate quantum computational advantage…
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Keywords:
quantum machine;
boson sampling;
quantum;
machine learning ... See more keywords
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Published in 2025 at "Npj Quantum Information"
DOI: 10.1038/s41534-025-01062-5
Abstract: Gaussian Boson Sampling (GBS) is the problem of sampling from the output of photon-number-resolving measurements of squeezed states input to a linear optical interferometer. For purposes of demonstrating quantum computational advantage as well as practical…
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Keywords:
complexity;
boson sampling;
gaussian boson;
complexity transition ... See more keywords
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Published in 2025 at "Physical Review A"
DOI: 10.1103/n9nc-xcmr
Abstract: We improve Gaussian Boson Sampling (GBS) circuits by integrating the unitary averaging (UA) protocol, previously demonstrated to protect unknown Gaussian states from phase errors [Phys. Rev. A 110, 032622]. Our work extends the applicability of…
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Keywords:
unitary averaging;
noise reduction;
boson sampling;
gaussian boson ... See more keywords
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Published in 2020 at "Physical Review A"
DOI: 10.1103/physreva.101.063821
Abstract: An important step for photonic quantum technologies is the demonstration of a quantum advantage through boson sampling. In order to prevent classical simulability of boson sampling, the photons need to be almost perfectly identical and…
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Keywords:
optimizing spontaneous;
spontaneous parametric;
spdc sources;
parametric conversion ... See more keywords
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Published in 2021 at "Physical Review A"
DOI: 10.1103/physreva.104.032204
Abstract: Multiphoton interference is at the very heart of quantum foundations and applications in quantum sensing and information processing. In particular, boson sampling experiments have the potential to demonstrate quantum computational supremacy while only relying on…
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Keywords:
number;
numbers photons;
boson sampling;
sampling random ... See more keywords
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Published in 2017 at "Physical Review A"
DOI: 10.1103/physreva.96.032326
Abstract: We develop an alternative boson sampling model operating on single-photon states followed by linear interferometry and Gaussian measurements. The hardness proof for simulating such continuous-variable measurements is established in two main steps, making use of…
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Keywords:
gaussian measurements;
time;
boson sampling;
model ... See more keywords
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Published in 2018 at "Physical Review A"
DOI: 10.1103/physreva.97.042304
Abstract: The search for new, application-specific quantum computers designed to outperform any classical computer is driven by the ending of Moore's law and the quantum advantages potentially obtainable. Photonic networks are promising examples, with experimental demonstrations…
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Keywords:
phase space;
photonic networks;
boson sampling;
sampling experiments ... See more keywords
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Published in 2020 at "Physical review letters"
DOI: 10.1103/physrevlett.124.100502
Abstract: As a promising candidate for exhibiting quantum computational supremacy, Gaussian boson sampling (GBS) is designed to exploit the ease of experimental preparation of Gaussian states. However, sufficiently large and inevitable experimental noise might render GBS…
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Keywords:
classical simulability;
regimes classical;
gbs;
gaussian boson ... See more keywords
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Published in 2022 at "Science Advances"
DOI: 10.1126/sciadv.abl9236
Abstract: Identifying the boundary beyond which quantum machines provide a computational advantage over their classical counterparts is a crucial step in charting their usefulness. Gaussian boson sampling (GBS), in which photons are measured from a highly…
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Keywords:
gbs;
gaussian boson;
advantage;
boson sampling ... See more keywords