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- W4382407753 abstract "Gaussian Boson Sampling (GBS) is one of the most popular quantum supremacy protocols as it does not require universal control over the quantum system, which favors current photonic experimental platforms and there is strong theoretical evidence for its computational hardness. However, over the years, several algorithms have been proposed trying to increase the performance of classically simulating GBS assuming certain constraints, e.g., a low number of photons or shallow interferometers. Most existing improvements of the classical simulation of GBS provide a performance increase regarding the probability calculation, leaving the sampling algorithm itself untouched. This paper provides an asymptotically better sampling algorithm in the case of low squeezing and shallow circuits." @default.
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- W4382407753 date "2023-01-01" @default.
- W4382407753 modified "2023-10-04" @default.
- W4382407753 title "Simulating Sparse and Shallow Gaussian Boson Sampling" @default.
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- W4382407753 doi "https://doi.org/10.1007/978-3-031-36030-5_17" @default.
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