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arxiv: 1004.2452 · v2 · pith:ISVDQ4UYnew · submitted 2010-04-14 · 🪐 quant-ph · math.ST· stat.TH

Quantum U-statistics

classification 🪐 quant-ph math.STstat.TH
keywords quantumbetaactingkernelkernelsotimesstatisticssystems
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The notion of a $U$-statistic for an $n$-tuple of identical quantum systems is introduced in analogy to the classical (commutative) case: given a selfadjoint `kernel' $K$ acting on $(\mathbb{C}^{d})^{\otimes r}$ with $r<n$, we define the symmetric operator $U_{n}= {n \choose r} \sum_{\beta}K^{(\beta)}$ with $K^{(\beta)}$ being the kernel acting on the subset $\beta$ of $\{1,\dots ,n\}$. If the systems are prepared in the i.i.d state $\rho^{\otimes n}$ it is shown that the sequence of properly normalised $U$-statistics converges in moments to a linear combination of Hermite polynomials in canonical variables of a CCR algebra defined through the Quantum Central Limit Theorem. In the special cases of non-degenerate kernels and kernels of order $2$ it is shown that the convergence holds in the stronger distribution sense. Two types of applications in quantum statistics are described: testing beyond the two simple hypotheses scenario, and quantum metrology with interacting hamiltonians.

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