2018
DOI: 10.1038/s41598-018-24302-5
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Generalized concurrence in boson sampling

Abstract: A fundamental question in linear optical quantum computing is to understand the origin of the quantum supremacy in the physical system. It is found that the multimode linear optical transition amplitudes are calculated through the permanents of transition operator matrices, which is a hard problem for classical simulations (boson sampling problem). We can understand this problem by considering a quantum measure that directly determines the runtime for computing the transition amplitudes. In this paper, we sugg… Show more

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Cited by 30 publications
(37 citation statements)
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References 41 publications
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“…( 3 ), which implies that we can define an even more general Glynn estimator, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}\begin{equation*} {\rm mGenGly}({z}) \equiv v_{s}^2{\Bigg(\prod \limits _{k = 1}^m {\bar{z}_k^{{s_k}}\Bigg)} \prod \limits _{i = 1}^m \bigg({\sum \limits _{j = 1}^m {{w_{i,j}}{z_j}} }\bigg )^{{t_i}}} , \end{equation*}\end{document} which is reduced to the estimator, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}${\rm GenGly}({z})$\end{document} , of Aaronson and Hance for the special cases where t 1 = t 2 = ⋅ ⋅ ⋅ = t m = 1, and further reduced to the estimator, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}${\rm Gly}({z})$\end{document} , of Gurvits, when s 1 = s 2 = ⋅ ⋅ ⋅ = s m = 1 in addition. An alternative estimator can be found in Huh [ 52 ].…”
Section: Derivation Of Main Resultsmentioning
confidence: 99%
“…( 3 ), which implies that we can define an even more general Glynn estimator, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}\begin{equation*} {\rm mGenGly}({z}) \equiv v_{s}^2{\Bigg(\prod \limits _{k = 1}^m {\bar{z}_k^{{s_k}}\Bigg)} \prod \limits _{i = 1}^m \bigg({\sum \limits _{j = 1}^m {{w_{i,j}}{z_j}} }\bigg )^{{t_i}}} , \end{equation*}\end{document} which is reduced to the estimator, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}${\rm GenGly}({z})$\end{document} , of Aaronson and Hance for the special cases where t 1 = t 2 = ⋅ ⋅ ⋅ = t m = 1, and further reduced to the estimator, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}${\rm Gly}({z})$\end{document} , of Gurvits, when s 1 = s 2 = ⋅ ⋅ ⋅ = s m = 1 in addition. An alternative estimator can be found in Huh [ 52 ].…”
Section: Derivation Of Main Resultsmentioning
confidence: 99%
“…Concretely, we provide a strong simulation of boson sampling (i.e. computing outcome probabilities) by showing how an expression for the permanent function from [36] can be computed efficiently for inputs of types A and B (though a similar scaling follows from an Appendix of [37]). We then generalize a result of [17] for weak classical simulation (i.e.…”
Section: Overview Of Main Resultsmentioning
confidence: 99%
“…We split the proof into two parts. First, we recall the results of [36] to give bounds on the computation cost on individual probability amplitudes p U S → T . Then we show, by generalizing the ideas from [17], how to sample from the output probability distribution by sampling the evolution of the individual particles one at the time, sidestepping the need to compute exponentially many individual probabilities.…”
Section: Simulation Of Boson Sampling With Binned Inputsmentioning
confidence: 99%
See 1 more Smart Citation
“…First of all, the permanent gives a result of the boson sampling in a multichannel quantum-optical network [5][6][7][8][9][10][11][12][13][14][15][16]-a simple prototype of a many-body quantum simulator. The latter amounts to evaluating the permanent of a unitary matrix of the channel couplings that could be addressed, for example, by an interesting method developed recently in Reference [11] on the basis of a complex phase-space representation.…”
Section: The Permanent's Complexity Of the Quantum Information Procesmentioning
confidence: 99%