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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

Sampling generalized cat states with linear optics is probably hard

classification quant-ph
keywords stateslinearsamplinghardopticsproblemquantumbeen
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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

    quant-ph 2025-10 accept novelty 6.0

    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.