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Sampling generalized cat states with linear optics is probably hard

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arxiv 1310.0297 v3 pith:JGGSYN22 submitted 2013-10-01 quant-ph

classification quant-ph
keywords stateslinearsamplinghardopticsproblemquantumbeen
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Boson-sampling has been presented as a simplified model for linear optical quantum computing. In the boson-sampling model, Fock states are passed through a linear optics network and sampled via number-resolved photodetection. It has been shown that this sampling problem likely cannot be efficiently classically simulated. This raises the question as to whether there are other quantum states of light for which the equivalent sampling problem is also computationally hard. We present evidence, without using a full complexity proof, that a very broad class of quantum states of light --- arbitrary superpositions of two or more coherent states --- when evolved via passive linear optics and sampled with number-resolved photodetection, likely implements a classically hard sampling problem.

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Cited by 1 Pith paper

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  1. Matrix product state approach to lossy boson sampling and noisy IQP sampling

    quant-ph 2025-10 accept novelty 6.0 of 10

    Lossy boson sampling and noisy IQP sampling are classically simulable with matrix product states, with the same known noise thresholds and accuracy controlled by bond dimension.

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