Back to Search
Start Over
Convergence Rates for the Quantum Central Limit Theorem
- Source :
- Communications in Mathematical Physics
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- Various quantum analogues of the central limit theorem, which is one of the cornerstones of probability theory, are known in the literature. One such analogue, due to Cushen and Hudson, is of particular relevance for quantum optics. It implies that the state in any single output arm of an $n$-splitter, which is fed with $n$ copies of a centred state $\rho$ with finite second moments, converges to the Gaussian state with the same first and second moments as $\rho$. Here we exploit the phase space formalism to carry out a refined analysis of the rate of convergence in this quantum central limit theorem. For instance, we prove that the convergence takes place at a rate $\mathcal{O}\left(n^{-1/2}\right)$ in the Hilbert--Schmidt norm whenever the third moments of $\rho$ are finite. Trace norm or relative entropy bounds can be obtained by leveraging the energy boundedness of the state. Via analytical and numerical examples we show that our results are tight in many respects. An extension of our proof techniques to the non-i.i.d. setting is used to analyse a new model of a lossy optical fibre, where a given $m$-mode state enters a cascade of $n$ beam splitters of equal transmissivities $\lambda^{1/n}$ fed with an arbitrary (but fixed) environment state. Assuming that the latter has finite third moments, and ignoring unitaries, we show that the effective channel converges in diamond norm to a simple thermal attenuator, with a rate $\mathcal{O}\Big(n^{-\frac{1}{2(m+1)}}\Big)$. This allows us to establish bounds on the classical and quantum capacities of the cascade channel. Along the way, we derive several results that may be of independent interest. For example, we prove that any quantum characteristic function $\chi_\rho$ is uniformly bounded by some $\eta_\rho<br />Comment: 52 pages, 4 figures. The presentation in v2 has been improved extensively; the proofs in Sections VI and VIII have been re-written, although their mathematical content is almost unchanged; the statement of Corollary 13 has been slightly modified; we added a Remark on p.41
- Subjects :
- Characteristic function (probability theory)
math-ph
FOS: Physical sciences
02 engineering and technology
math.PR
01 natural sciences
Article
math.MP
quant-ph
Probability theory
0103 physical sciences
FOS: Mathematics
0202 electrical engineering, electronic engineering, information engineering
Uniform boundedness
010306 general physics
Mathematical Physics
Central limit theorem
Physics
Discrete mathematics
Quantum Physics
Probability (math.PR)
020206 networking & telecommunications
Statistical and Nonlinear Physics
Mathematical Physics (math-ph)
State (functional analysis)
ddc
Rate of convergence
Norm (mathematics)
Quantum Physics (quant-ph)
Mathematics - Probability
Energy (signal processing)
Subjects
Details
- ISSN :
- 14320916 and 00103616
- Volume :
- 383
- Database :
- OpenAIRE
- Journal :
- Communications in Mathematical Physics
- Accession number :
- edsair.doi.dedup.....b3528192cb7746ed42c5d222433630ea
- Full Text :
- https://doi.org/10.1007/s00220-021-03988-1