Optimal convergence rates in trace distance and relative entropy for the quantum central limit theorem
Pith reviewed 2026-05-23 18:58 UTC · model grok-4.3
The pith
Centered m-mode quantum states with finite third moments converge to their Gaussification in trace distance at rate O(n^{-1/2}), and with finite fourth moments the relative entropy converges at O(n^{-1}).
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
For a centered m-mode quantum state with finite third-order moments the trace distance between its n-fold convolution and the matching Gaussian state decays at rate O(n^{-1/2}). When fourth-order moments exist (or order 4+δ for small δ>0 when m>1), the relative entropy decays at rate O(n^{-1}). Both rates are optimal, and the moment hypotheses are nearly the weakest possible. The proofs rely on Edgeworth-type expansions of quantum characteristic functions together with an auxiliary upper bound on the relative entropy between an arbitrary state and its Gaussification.
What carries the argument
Edgeworth-type expansions of quantum characteristic functions adapted from the classical setting
If this is right
- The rates match the best classical central-limit results under the same moment conditions.
- Stronger moment assumptions used in earlier quantum work can be dropped.
- Explicit counter-examples confirm that the stated moment conditions are essentially minimal.
- A general upper bound on relative entropy distance to the Gaussification holds independently of the convolution argument.
Where Pith is reading between the lines
- The same expansion technique may transfer to other quantum distance measures or to limit theorems for non-Gaussian targets.
- Error scaling in quantum-optical or continuous-variable information protocols that rely on Gaussification approximations can now be predicted from the number of modes and the available moments.
- Direct numerical simulation of low-mode states with controlled moments offers a concrete test of the predicted exponents.
Load-bearing premise
Classical Edgeworth expansions of characteristic functions can be carried over to the quantum case and used to bound the distances once third or fourth moments are finite.
What would settle it
An explicit m-mode state with finite third moments whose trace distance to the corresponding Gaussification decays slower than order n^{-1/2} for large n.
read the original abstract
A quantum analogue of the Central Limit Theorem (CLT) for bosonic system, first introduced by Cushen and Hudson (1971), states that the $n$-fold convolution $\rho^{\boxplus n}$ of an $m$-mode quantum state $\rho$, with zero first moments and finite second moments, converges weakly, as $n$ increases, to a Gaussian state $\rho_G$ with the same first and second moments as those of $\rho$, called its Gaussification. Recently, this result has been extended with estimates of the convergence rate in various distance measures. In this paper, we establish optimal rates of convergence in both the trace distance and quantum relative entropy. Specifically, we show that for a centered $m$-mode quantum state with finite third-order moments, the trace distance between $\rho^{\boxplus n}$ and $\rho_G$ decays at the optimal rate of $\mathcal{O}(n^{-1/2})$. Furthermore, for states with finite fourth-order moments (order $4+\delta$ for an arbitrary small $\delta>0$ if $m>1$), we prove that the relative entropy between $\rho^{\boxplus n}$ and $\rho_G$ decays at the optimal rate of $\mathcal{O}(n^{-1})$. Both of these rates are proven to be optimal, even when assuming the finiteness of all moments of $\rho$. These results relax previous assumptions on higher-order moments, yielding convergence rates that match the best known results in the classical setting. By giving explicit examples we also show that our moment assumptions are essentially minimal. Our proofs draw on techniques from the classical literature, including Edgeworth-type expansions of quantum characteristic functions, adapted to the quantum context. A key technical step in the proof of our entropic CLT is establishing an upper bound on the relative entropy distance between a general quantum state and its Gaussification, which is of independent interest.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript proves optimal rates in the quantum central limit theorem for m-mode bosonic states. For centered states with finite third moments, the trace distance between the n-fold convolution ρ^{⊞n} and its Gaussification ρ_G is O(n^{-1/2}). For states with finite fourth moments (or 4+δ for m>1), the relative entropy D(ρ^{⊞n} || ρ_G) is O(n^{-1}). Both rates are shown sharp by explicit counterexamples even under all-moment assumptions. Proofs adapt classical Edgeworth expansions of characteristic functions to the quantum Weyl setting; a key independent step is an upper bound on relative entropy to the Gaussification.
Significance. If the derivations hold, the work supplies the first optimal quantitative rates for the quantum CLT in trace distance and relative entropy under minimal moment hypotheses that match the classical setting. The explicit optimality constructions and the standalone relative-entropy bound to Gaussification are notable strengths. The adaptation of Edgeworth techniques to quantum characteristic functions is carried out without introducing extra regularity assumptions beyond those stated.
minor comments (2)
- [Introduction] The statement of the key relative-entropy bound (used for the entropic CLT) appears in the abstract and introduction but would benefit from an explicit theorem number and a one-sentence pointer to its proof location for readers interested only in that lemma.
- [Section on optimality constructions] In the optimality examples, the precise moment conditions that fail (third for trace distance, fourth for relative entropy) should be stated in a single displayed equation or table to make the sharpness claim immediately verifiable.
Simulated Author's Rebuttal
We thank the referee for their positive assessment of the manuscript, recognition of the optimal rates achieved under minimal moment assumptions, and recommendation to accept. We appreciate the note that the results match the classical setting and that the Edgeworth adaptation and standalone relative-entropy bound are strengths.
Circularity Check
Derivation self-contained via classical adaptations
full rationale
The paper derives optimal convergence rates for the quantum CLT by adapting Edgeworth-type expansions of quantum characteristic functions from classical literature, with explicit counterexamples establishing sharpness of the moment conditions. No load-bearing steps reduce by construction to self-citations, fitted parameters renamed as predictions, or self-definitional relations. The upper bound on relative entropy to Gaussification is an independent technical contribution, and the overall chain relies on external classical results plus direct quantum adaptations without internal reduction to the target rates.
Axiom & Free-Parameter Ledger
axioms (2)
- domain assumption The n-fold convolution of quantum states is well-defined for bosonic systems with the given moments.
- standard math Trace distance and relative entropy serve as appropriate metrics for quantifying convergence to Gaussian states.
Lean theorems connected to this paper
-
IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Our proofs draw on techniques from the classical literature, including Edgeworth-type expansions of quantum characteristic functions, adapted to the quantum context.
-
IndisputableMonolith/Foundation/RealityFromDistinction.leanreality_from_one_distinction unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
Theorem 1 … finite moments of order 3 … ∥ρ⊞n − ρG∥1 = O(n^{-1/2})
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
-
[1]
H. Araki. On an inequality of Lieb and Thirring.Letters in Mathematical Physics, 19(2):167–170, Feb
-
[2]
doi:10.1007/BF01045887
-
[3]
G. B. Arous, K. Kirkpatrick, and B. Schlein. A central limit theorem in many-body quantum dynamics. Communications in Mathematical Physics, 321(2):371–417, 2013.doi:10.1007/s00220-013-1722-1
-
[4]
S. Becker, N. Datta, L. Lami, and C. Rouzé. Convergence rates for the quantum central limit theorem. Communications in Mathematical Physics, 383:223–279, 2021.doi:10.1007/s00220-021-03988-1
-
[5]
S. Beigi and H. Mehrabi. Towards optimal convergence rates for the quantum central limit theorem. arXiv preprint arXiv:2310.09812, 2023. doi:10.48550/arXiv.2310.09812
-
[6]
A. C. Berry. The accuracy of the Gaussian approximation to the sum of independent vari- ates. Transactions of the American Mathematical Society, 49(1):122–136, 1941. doi:10.1090/ S0002-9947-1941-0003498-3
work page 1941
-
[7]
R. Bhatia. Matrix analysis. Number 169 in Graduate texts in mathematics. Springer, New York, 1997. doi:10.1007/978-1-4612-0653-8
-
[8]
R. N. Bhattacharya and R. R. Rao.Normal approximation and asymptotic expansions. SIAM, 2010. doi:10.1137/1.9780898719895
-
[9]
L. Bittel, A. A. Mele, J. Eisert, and L. Leone. Optimal trace-distance bounds for free-fermionic states: Testing and improved tomography. arXiv preprint arXiv:2409.17953, 2024. doi:10.48550/arXiv. 2409.17953
work page internal anchor Pith review doi:10.48550/arxiv 2024
-
[10]
S. G. Bobkov, G. P. Chistyakov, and F. Götze. Rate of convergence and edgeworth-type expansion in the entropic central limit theorem.The Annals of Probability, pages 2479–2512, 2013.doi:10.1214/ 12-AOP780
work page 2013
-
[11]
S. G. Bobkov, G. P. Chistyakov, and F. Götze. Berry–esseen bounds in the entropic central limit theo- rem. Probability Theory and Related Fields, 159(3-4):435–478, 2014.doi:10.1007/s00440-013-0510-3
-
[12]
E. T. Campbell, M. G. Genoni, and J. Eisert. Continuous-variable entanglement distillation and non- commutative central limit theorems. Physical Review A—Atomic, Molecular, and Optical Physics, 87(4):042330, 2013. doi:10.1103/PhysRevA.87.042330
-
[13]
M. Cramer and J. Eisert. A quantum central limit theorem for non-equilibrium systems: exact local relaxation of correlated states.New Journal of Physics, 12(5):055020, 2010.doi:10.1088/1367-2630/ 12/5/055020
-
[14]
C. D. Cushen and R. L. Hudson. A quantum-mechanical central limit theorem.Journal of Applied Probability, 8(3):454–469, 1971.doi:10.2307/3212170
-
[15]
A. Dimić and B. Dakić. On the central limit theorem for unsharp quantum random variables.New Journal of Physics, 20(6):063051, 2018. doi:10.1088/1367-2630/aacd68
-
[16]
R. Durrett. Probability: Theory and Examples. Cambridge University Press, Cambridge, 5th edition,
-
[17]
doi:10.1017/9781108591034. 47
-
[18]
Feller.An introduction to probability theory and its applications, volume 2, volume 81
W. Feller.An introduction to probability theory and its applications, volume 2, volume 81. John Wiley & Sons, 1991
work page 1991
-
[19]
M. G. Genoni, M. G. Paris, and K. Banaszek. Quantifying the non-gaussian character of a quantum state byquantumrelativeentropy. Physical Review A—Atomic, Molecular, and Optical Physics, 78(6):060303,
-
[20]
doi:10.1103/PhysRevA.78.060303
-
[21]
N. Giri and W. von Waldenfels. An algebraic version of the central limit theorem. Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete, 42(2):129–134, 1978.doi:10.1007/BF00536048
-
[22]
D. Goderis, A. Verbeure, and P. Vets. Non-commutative central limits.Probability Theory and Related Fields, 82:527–544, 1989.doi:10.1007/BF00341282
-
[23]
D. Goderis and P. Vets. Central limit theorem for mixing quantum systems and the ccr-algebra of fluctuations. Communications in Mathematical Physics, 122:249–265, 1989.doi:10.1007/BF01257415
-
[24]
M. Hayashi. Quantum information theory. Springer, 2006. doi:10.1007/978-3-662-49725-8
-
[25]
M. Hayashi. Quantum estimation and the quantum central limit theorem. American Mathematical Society Translations Series, 2(277):95, 2009
work page 2009
-
[26]
K.HeppandE.H.Lieb. Onthesuperradiantphasetransitionformoleculesinaquantizedradiationfield: the dicke maser model.Annals of Physics, 76(2):360–404, 1973.doi:10.1016/0003-4916(73)90039-0
-
[27]
K. Hepp and E. H. Lieb. Phase transitions in reservoir-driven open systems with applications to lasers and superconductors. In Condensed Matter Physics and Exactly Soluble Models: Selecta of Elliott H. Lieb, pages 145–175. Springer, 1973.doi:10.1007/978-3-662-06390-3_13
- [28]
-
[29]
V. Jakšić, Y. Pautrat, and C.-A. Pillet. Central limit theorem for locally interacting fermi gas.Com- munications in mathematical physics, 285:175–217, 2009.doi:10.1007/s00220-008-0610-6
-
[30]
V. Jakšić, Y. Pautrat, and C.-A. Pillet. A quantum central limit theorem for sums of independent identically distributed random variables. Journal of mathematical physics, 51(1):015208, 2010. doi: 10.1063/1.3285287
-
[31]
R. König and G. Smith. The entropy power inequality for quantum systems.IEEE Transactions on Information Theory, 60(3):1536–1548, 2014.doi:10.1109/TIT.2014.2298436
-
[32]
L. Lami, K. K. Sabapathy, and A. Winter. All phase-space linear bosonic channels are approximately Gaussian dilatable. New Journal of Physics, 20(11):113012, Nov. 2018. URL: https://iopscience. iop.org/article/10.1088/1367-2630/aae738, doi:10.1088/1367-2630/aae738
-
[33]
R. Lenczewski. Quantum central limit theorems. In Symmetries in Science VIII, pages 299–314. Springer, 1995. doi:10.1007/978-1-4615-1915-7_22
-
[34]
J. W. Lindeberg. Eine neue herleitung des exponentialgesetzes in der wahrscheinlichkeitsrechnung. Mathematische Zeitschrift, 15:211–225, 1922.doi:10.1007/BF01495306
-
[35]
P. Marian and T. A. Marian. Relative entropy is an exact measure of non-gaussianity.Physical Review A–Atomic, Molecular, and Optucal Physics, 88(1):012322, 2013. doi:10.1103/PhysRevA.88.012322
-
[36]
T. Matsui. Bosonic central limit theorem for the one-dimensional xy model.Reviews in Mathematical Physics, 14(07n08):675–700, 2002.doi:10.1142/S0129055X02001272. 48
-
[37]
F. A. Mele, A. A. Mele, L. Bittel, J. Eisert, V. Giovannetti, L. Lami, L. Leone, and S. F. Oliviero. Learning quantum states of continuous variable systems.arXiv preprint arXiv:2405.01431, 2024. doi: 10.48550/arXiv.2405.01431
-
[38]
T. Michoel and B. Nachtergaele. Central limit theorems for the large-spin asymptotics of quantum spins. Probability Theory and Related Fields, 4(130):493–517, 2004.doi:10.1007/s00440-004-0364-9
-
[39]
A. Serafini. Quantum continuous variables: a primer of theoretical methods. CRC press, 2017. doi: 10.1201/9781315118727
-
[40]
S. K. Sirazhdinov and M. Mamatov. On convergence in the mean for densities.Theory of Probability & Its Applications, 7(4):424–428, 1962.doi:10.1137/1107039
-
[41]
R. F. Streater. Entropy and the central limit theorem in quantum mechanics.Journal of Physics A: Mathematical and General, 20(13):4321, 1987. doi:10.1088/0305-4470/20/13/033
-
[42]
D. V. Voiculescu, K. J. Dykema, and A. Nica.Free random variables, volume 1. American Mathematical Soc., 1992
work page 1992
-
[43]
A. Winter. Tight Uniform Continuity Bounds for Quantum Entropies: Conditional Entropy, Relative Entropy Distance and Energy Constraints.Communications in Mathematical Physics, 347(1):291–313, Oct. 2016. doi:10.1007/s00220-016-2609-8. A Proof of (57) In this appendix we show that X β·k>t (k1 + 1)e−β·k ≤ 2m(β1 + 1)2 · · ·(βm + 1)2 ν2 β (t + 1)me−t, (113) wh...
-
[44]
Also, in the last line,M4−δ is the moment of order4 − δ of w(·) which by assumption is finite. Now, to derive the representation in (101), we write ρ⊞n = 1 π Z C χρ⊞n(z)D−zd2z = 1 π Z C χρ z√n n D−zd2z 52 = 1 π Z |z|≤C √ ln n 1 + e2 z√n 2 χρ z√n − 1 n e−2|z|2 D−zd2z | {z } An + 1 π Z |z|>C √ ln n χρ z√n n D−zd2z | {z } Bn , (119) where C > 0 is a sufficie...
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