Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantum Chebyshev's Inequality and Applications   In this paper we provide new quantum algorithms with polynomial speed-up for
a range of problems for which no such results were known, or we improve
previous algorithms. First, we consider the approximation of the frequency
moments $F_k$ of order $k \geq 3$ in the multi-pass streaming model with
updates (turnstile model). We design a $P$-pass quantum streaming algorithm
with memory $M$ satisfying a tradeoff of $P^2 M = \tilde{O}(n^{1-2/k})$,
whereas the best classical algorithm requires $P M = \Theta(n^{1-2/k})$. Then,
we study the problem of estimating the number $m$ of edges and the number $t$
of triangles given query access to an $n$-vertex graph. We describe optimal
quantum algorithms that perform $\tilde{O}(\sqrt{n}/m^{1/4})$ and
$\tilde{O}(\sqrt{n}/t^{1/6} + m^{3/4}/\sqrt{t})$ queries respectively. This is
a quadratic speed-up compared to the classical complexity of these problems.
  For this purpose we develop a new quantum paradigm that we call Quantum
Chebyshev's inequality. Namely we demonstrate that, in a certain model of
quantum sampling, one can approximate with relative error the mean of any
random variable with a number of quantum samples that is linear in the ratio of
the square root of the variance to the mean. Classically the dependency is
quadratic. Our algorithm subsumes a previous result of Montanaro [Mon15]. This
new paradigm is based on a refinement of the Amplitude Estimation algorithm of
Brassard et al. [BHMT02] and of previous quantum algorithms for the mean
estimation problem. We show that this speed-up is optimal, and we identify
another common model of quantum sampling where it cannot be obtained. For our
applications, we also adapt the variable-time amplitude amplification technique
of Ambainis [Amb10] into a variable-time amplitude estimation algorithm.

4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
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The categories of this paper are: eess
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The categories of this paper are: acc-phys
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The categories of this paper are: patt-sol
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-th
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The categories of this paper are: gr-qc
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The categories of this paper are: solv-int
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ex
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-th