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Quantum computational advantage using photons

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arxiv 2012.01625 v1 pith:RI3ATZOJ submitted 2020-12-03 quant-ph cond-mat.otherphysics.optics

Quantum computational advantage using photons

classification quant-ph cond-mat.otherphysics.optics
keywords statesadvantagecomputationalhighoutputphotonsquantumsampling
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Gaussian boson sampling exploits squeezed states to provide a highly efficient way to demonstrate quantum computational advantage. We perform experiments with 50 input single-mode squeezed states with high indistinguishability and squeezing parameters, which are fed into a 100-mode ultralow-loss interferometer with full connectivity and random transformation, and sampled using 100 high-efficiency single-photon detectors. The whole optical set-up is phase-locked to maintain a high coherence between the superposition of all photon number states. We observe up to 76 output photon-clicks, which yield an output state space dimension of $10^{30}$ and a sampling rate that is $10^{14}$ faster than using the state-of-the-art simulation strategy and supercomputers. The obtained samples are validated against various hypotheses including using thermal states, distinguishable photons, and uniform distribution.

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Cited by 2 Pith papers

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    Topological quantum interferometry driven by exchange Berry phase generalizes q-plate methods to arbitrary charges, using BPX as a control parameter to decompose two-photon patterns and witness dimensionality via topo...

  2. Gaussian boson sampling: Benchmarking quantum advantage

    quant-ph 2026-04 unverdicted novelty 6.0

    A new classical algorithm for Gaussian boson sampling produces outputs closer to exact results than quantum experiments up to 1152 modes and scales efficiently, indicating hardware errors enable classical simulation.