Bosonsampling is far from uniform
http://export.arxiv.org/abs/1309.7460 WebDec 26, 2013 · It can be shown that this verifier would require an exponential sample size (and exponential time) to verify we have a BosonSampling distribution rather than the uniform distribution, because this is how long it takes to have repeating events. Scott’s response: why on Earth should we put this restriction on the verifier?
Bosonsampling is far from uniform
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WebWe prove that, with high probability over a Haar-random matrix A, the BosonSampling distribution induced by A is far from the uniform distribution in total variation distance. … WebOct 14, 2024 · It is proved that, with high probability over a Haar-random matrix A, the BosonSampling distribution induced by A is far from the uniform distribution in total variation distance, and counter to Gogolin et al., an efficient algorithm is given that distinguishes these two distributions with constant bias. 115 Highly Influential PDF
Title: Hyperentanglement purification and concentration assisted by diamond NV … BosonSampling, which we proposed three years ago, is a scheme for using linear … WebApr 13, 2024 · Two classes of quantum sampling problems that demonstrate the supremacy of quantum algorithms are BosonSampling …
WebCiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): BosonSampling, which we proposed three years ago, is a scheme for using linear-optical networks to solve sampling problems that appear to be intractable for a classical computer. In a recent manuscript, Gogolin et al. claimed that even an ideal BosonSampling … WebWe prove that, with high probability over a Haar-random matrix A, the BosonSampling distribution induced by A is far from the uniform distribution in total variation distance. …
WebSep 28, 2013 · We prove that, with high probability over a Haar-random matrix A, the BosonSampling distribution induced by A is far from the uniform distribution in total …
WebCiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): BosonSampling, which we proposed three years ago, is a scheme for using linear … difference between cno and rnaoWebMar 13, 2014 · [11] Aaronson, S. & Arkhip ov, A. Bosonsampling is far from. uniform. ... Boson-Sampling is a classically computationally hard problem that can - in principle - be efficiently solved with quantum ... difference between cnn and resnetWebNov 10, 2024 · So far, a number of elegant boson sampling experiments has been achieved with linear optics on a small scale 20,21,22 ... but can be only used to distinguish between boson sampling and uniform ... difference between cno and cneWebNov 13, 2024 · BosonSampling is a recent development in linear optics which has stimulated a number of new computational models and algorithms in quantum computing. Much of this interest follows from the computational complexity arguments which show that the particular quantum system in which BosonSampling resides is difficult to simulate … difference between cnp and aprnWebDec 16, 2024 · All parties to the discussion agree that the new experiment is, far and away, the closest any BosonSampling experiment has ever gotten to the quantum supremacy regime; the hard part is to figure out if it’s already there. difference between cnn and svmWebIn arXiv:1306.3995, Gogolin et al. claimed that even an ideal BosonSampling device's output would be "operationally indistinguishable" from a uniform random outcome, at le... difference between co4 and co5 grassWebSep 28, 2013 · We prove that, with high probability over a Haar-random matrix A, the BosonSampling distribution induced by A is far from the uniform distribution in total … forgot my icloud login and password