Catability as a metric for evaluating superposed coherent states
Pith reviewed 2026-05-19 13:30 UTC · model grok-4.3
The pith
Catability offers a measurable way to spot cat-like quantum superpositions using nonlinear squeezing.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The authors define catability as a criterion rooted in nonlinear squeezing for detecting cat-like features in superposed coherent states. This metric bypasses full state tomography and reveals the desired structure in cases where fidelity to an ideal state fails. Numerical results confirm that the criterion remains effective under loss and supports direct experimental implementation, while naturally generalizing to multiheaded cat states.
What carries the argument
Catability, a metric based on nonlinear squeezing that quantifies cat-like superposition features through higher-order correlations without requiring complete state knowledge.
If this is right
- Cat states can be identified in lossy environments without full state tomography.
- The metric extends to multiheaded cat states and other exotic superpositions.
- Experimental setups can implement the criterion directly using existing squeezing measurements.
- It provides an alternative when fidelity measures fail to capture the superposition structure.
Where Pith is reading between the lines
- Verification protocols for cat-state-based quantum error correction could become simpler and less resource-intensive.
- The underlying squeezing measurement might adapt to detect other non-classical features in continuous-variable systems.
- Tests in superconducting or optical platforms with engineered loss would directly check the metric's practical limits.
- Links to standard squeezing witnesses could unify several detection methods in quantum optics.
Load-bearing premise
Nonlinear squeezing reliably signals the presence of cat-like superposition structure even when the state suffers loss and without comparison to an ideal reference.
What would settle it
Prepare a known cat state, apply controlled photon loss, and check whether catability stays high while fidelity to the ideal state drops sharply; or prepare a non-superposed state that shows strong nonlinear squeezing and verify whether catability remains low.
Figures
read the original abstract
Superposed coherent states are central to quantum technologies, yet their reliable identification remains a challenge, especially in noisy or resource-constrained settings. We introduce a novel, directly measurable criterion for detecting cat-like features in quantum states, rooted in the concept of nonlinear squeezing. This approach bypasses the need for full state tomography and reveals structure where fidelity fails. The numerical results confirm its robustness under loss and its potential for experimental implementation. The method naturally generalizes to more exotic superpositions, including multiheaded cat states.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript introduces catability, a metric based on nonlinear squeezing, as a novel way to evaluate superposed coherent states for cat-like features. It claims this approach is directly measurable, avoids full state tomography, identifies structure missed by fidelity, shows robustness to loss via numerical results, and extends to multi-headed cat states.
Significance. Should the claims hold, this metric offers a practical, experimentally implementable tool for detecting non-classical superposition in quantum states under realistic conditions, potentially advancing quantum technology applications by reducing the need for resource-intensive tomography. The numerical demonstrations of robustness and the generalization to multi-headed cats are noted strengths if the underlying simulations are reproducible.
major comments (1)
- Numerical results section: The central claim of robustness under loss rests on numerical simulations, but the manuscript does not specify the loss channel (e.g., amplitude damping rates or photon-loss probabilities) or the quantitative thresholds defining 'robustness,' which undermines verification of the metric's practical advantage over fidelity.
minor comments (2)
- Figure captions should explicitly state what quantities are plotted (e.g., catability vs. loss parameter) and reference the corresponding equations.
- The introduction would benefit from a brief comparison table contrasting catability with fidelity and other known cat-state witnesses.
Simulated Author's Rebuttal
We thank the referee for their careful reading of the manuscript and for the constructive comment. We address the point below and will revise the manuscript to improve clarity and reproducibility.
read point-by-point responses
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Referee: Numerical results section: The central claim of robustness under loss rests on numerical simulations, but the manuscript does not specify the loss channel (e.g., amplitude damping rates or photon-loss probabilities) or the quantitative thresholds defining 'robustness,' which undermines verification of the metric's practical advantage over fidelity.
Authors: We thank the referee for identifying this gap. We agree that the numerical results section would be strengthened by explicitly specifying the loss channel and the quantitative criteria used to assess robustness. In the revised manuscript we will describe the precise loss model (a photon-loss channel with the range of loss probabilities considered) and define the thresholds that quantify robustness, together with a direct comparison to fidelity under the same conditions. These additions will allow readers to verify the claimed practical advantage. revision: yes
Circularity Check
No significant circularity detected in derivation chain
full rationale
The paper defines catability as a measurable criterion explicitly rooted in the external prior concept of nonlinear squeezing rather than in terms of itself or its own outputs. Numerical demonstrations of robustness to loss and generalization to multi-headed cats are presented as independent verifications that do not reduce to fitted inputs renamed as predictions or to self-citation chains. The central claim bypasses tomography by construction from the squeezing concept and does not invoke uniqueness theorems or ansatzes from the authors' prior work as load-bearing justifications. The derivation remains self-contained against external benchmarks with no steps that equate outputs to inputs by definition.
Axiom & Free-Parameter Ledger
invented entities (1)
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catability
no independent evidence
Lean theorems connected to this paper
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IndisputableMonolith/Cost/FunctionalEquation.leanwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
catability ξ(±)(α)=min_γ Tr[Ô(±)(α,γ) ρ] / min_G Tr[Ô ρ_G] with Ô=(a†²−α*²)(a²−α²)+γ(1∓Π)
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IndisputableMonolith/Foundation/AlphaDerivationExplicit.leanphi_golden_ratio echoes?
echoesECHOES: this paper passage has the same mathematical shape or conceptual pattern as the Recognition theorem, but is not a direct formal dependency.
ω=0.618 chosen to minimize expectation for α=1 (approximating small cats)
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]
If𝜉 (±) (𝛼)=0, thenˆ𝜌is an eigenstate of the opera- tor ˆO(±) (𝛼, 𝛾)and represents a perfect cat state|𝛼,±⟩, which is necessarily non-Gaussian
-
[2]
If0< 𝜉 (±) (𝛼)<1, thenˆ𝜌is an imperfect, approximate cat state with amplitude𝛼, but we can still confirm its non-Gaussian nature
-
[3]
If𝜉 (±) (𝛼) ≥1,wecannotsay. Itmightbethecorrectcat statewithtoomuchdecoherence,adifferentcatstate,or a different state altogether. Imperfect or approximate cat states are understood here as re- alisticquantumstatesthatmaybeexpressedassuperpositions or mixtures of ideal cat states and other components, arising, for example, from loss, decoherence, and othe...
-
[4]
Schrödinger, Die Naturwissenschaften23, 807 (1935), URL http://dx.doi.org/10.1007/bf01491891
E. Schrödinger, Die Naturwissenschaften23, 807 (1935), URL http://dx.doi.org/10.1007/bf01491891
- [5]
-
[6]
T. C. Ralph, A. Gilchrist, G. J. Milburn, W. J. Munro, and S. Glancy, Physical Review A68, 042319 (2003), URLhttp: //dx.doi.org/10.1103/physreva.68.042319
-
[7]
A.P.Lund,T.C.Ralph,andH.L.Haselgrove,PhysicalReview Letters100, 030503 (2008), URLhttp://dx.doi.org/10. 1103/physrevlett.100.030503
work page 2008
- [8]
-
[9]
S.Omkar,Y.S.Teo,andH.Jeong,Phys.Rev.Lett.125,060501 (2020)
work page 2020
-
[10]
S.Omkar,Y.S.Teo,S.-W.Lee,andH.Jeong,Phys.Rev.A103, 032602 (2021)
work page 2021
-
[11]
J. Hastrup and U. L. Andersen, Physical Review Research 4, 043065 (2022), URLhttp://dx.doi.org/10.1103/ physrevresearch.4.043065
work page 2022
-
[12]
J. Lee, N. Kang, S.-H. Lee, H. Jeong, L. Jiang, and S.-W. Lee, PRX Quantum5, 030322 (2024), URLhttp://dx.doi.org/ 10.1103/prxquantum.5.030322
-
[13]
D. Su, I. Dhand, and T. C. Ralph, Physical Review A 106, 042614 (2022), URLhttp://dx.doi.org/10.1103/ physreva.106.042614
work page 2022
-
[14]
Z. Leghtas, G. Kirchmair, B. Vlastakis, R. J. Schoelkopf, M. H. Devoret, and M. Mirrahimi, Physical Review Letters 111, 120501 (2013), URLhttp://dx.doi.org/10.1103/ physrevlett.111.120501
work page 2013
-
[15]
K. Duivenvoorden, B. M. Terhal, and D. Weigand, Physical ReviewA95,012305(2017),URLhttp://dx.doi.org/10. 1103/physreva.95.012305
work page 2017
-
[17]
A. P. Lund, H. Jeong, T. C. Ralph, and M. S. Kim, Physical ReviewA70,020101(2004),URLhttp://dx.doi.org/10. 1103/physreva.70.020101
work page 2004
-
[18]
D. V. Sychev, A. E. Ulanov, A. A. Pushkina, M. W. Richards, I. A. Fedorov, and A. I. Lvovsky, Nature Photonics11, 379 (2017), URLhttp://dx.doi.org/10.1038/nphoton. 2017.57
-
[19]
D.J.WeigandandB.M.Terhal,PhysicalReviewA97,022341 (2018),URLhttp://dx.doi.org/10.1103/physreva.97. 022341
-
[20]
M.Ježek,A.Tipsmark,R.Dong,J.Fiurášek,L.Mišta,R.Filip, andU.L.Andersen,PhysicalReviewA86,043813(2012),URL http://dx.doi.org/10.1103/physreva.86.043813
-
[21]
M. Yukawa, K. Miyata, T. Mizuta, H. Yonezawa, P. Marek, R. Filip, and A. Furusawa, Optics Express21, 5529 (2013), URLhttp://dx.doi.org/10.1364/oe.21.005529
-
[22]
M. Eaton, C. González-Arciniegas, R. N. Alexander, N. C. Menicucci, and O. Pfister, Quantum6, 769 (2022), URL http://dx.doi.org/10.22331/q-2022-07-20-769
- [23]
-
[24]
B. Vlastakis, G. Kirchmair, Z. Leghtas, S. E. Nigg, L. Frun- zio, S. M. Girvin, M. Mirrahimi, M. H. Devoret, and R. J. Schoelkopf, Science342, 607 (2013), URLhttp://dx.doi. org/10.1126/science.1243289
-
[25]
N. Ofek, A. Petrenko, R. Heeres, P. Reinhold, Z. Leghtas, B.Vlastakis,Y.Liu,L.Frunzio,S.M.Girvin,L.Jiang,etal.,Na- ture536, 441 (2016), URLhttp://dx.doi.org/10.1038/ nature18949
work page 2016
-
[26]
X.L.He,Y.Lu,D.Q.Bao,H.Xue,W.B.Jiang,Z.Wang,A.F. Roudsari, P. Delsing, J. S. Tsai, and Z. R. Lin, Nature Com- munications14,6358(2023),URLhttp://dx.doi.org/10. 1038/s41467-023-42057-0
work page 2023
- [27]
-
[28]
D. Kienzler, C. Flühmann, V. Negnevitsky, H.-Y. Lo, M. Marinelli, D. Nadlinger, and J. Home, Physical Review Letters116, 140402 (2016), URLhttp://dx.doi.org/10. 1103/physrevlett.116.140402
work page 2016
- [29]
-
[30]
B. Hacker, S. Welte, S. Daiss, A. Shaukat, S. Ritter, L. Li, and G. Rempe, Nature Photonics13, 110 (2019), URLhttp: //dx.doi.org/10.1038/s41566-018-0339-5
-
[31]
I. Shomroni, L. Qiu, and T. J. Kippenberg, Physical Review A101, 033812(2020), URLhttp://dx.doi.org/10.1103/ physreva.101.033812
work page 2020
- [32]
-
[34]
Walschaers, PRX Quantum2, 030204 (2021), URLhttp: //dx.doi.org/10.1103/prxquantum.2.030204
M. Walschaers, PRX Quantum2, 030204 (2021), URLhttp: //dx.doi.org/10.1103/prxquantum.2.030204
-
[35]
Physica E: Low-dimensional Systems and Nanostructures106, 208–238 (2019) https://doi.org/10.1016/j
L. Lachman and R. Filip, Progress in Quantum Electronics 6 83, 100395 (2022), URLhttp://dx.doi.org/10.1016/j. pquantelec.2022.100395
work page doi:10.1016/j 2022
- [36]
-
[37]
J. Fiurášek and M. Ježek, Physical Review A87, 062115 (2013),URLhttp://dx.doi.org/10.1103/physreva.87. 062115
-
[39]
H.Kwon,C.-Y.Park,K.C.Tan,andH.Jeong,NewJ.Phys.19, 043024 (2017), ISSN 1367-2630
work page 2017
-
[40]
Chu, Science380, 274 (2023), URLhttp://dx.doi
M.Bild,M.Fadel,Y.Yang,U.vonLüpke,P.Martin,A.Bruno, and Y. Chu, Science380, 274 (2023), URLhttp://dx.doi. org/10.1126/science.adf7553
-
[41]
M.G.Genoni,M.L.Palma,T.Tufarelli,S.Olivares,M.S.Kim, andM.G.A.Paris,PhysicalReviewA87,062104(2013),URL http://dx.doi.org/10.1103/physreva.87.062104
-
[42]
Stoler, Physical Review D1, 3217 (1970), URLhttp:// dx.doi.org/10.1103/physrevd.1.3217
D. Stoler, Physical Review D1, 3217 (1970), URLhttp:// dx.doi.org/10.1103/physrevd.1.3217
-
[43]
E.Y.C.Lu,LettereAlNuovoCimentoSeries22,1241(1971), URLhttp://dx.doi.org/10.1007/bf02770161
-
[44]
H. P. Yuen, Physical Review A13, 2226 (1976), URLhttp: //dx.doi.org/10.1103/physreva.13.2226
-
[45]
S. L. Braunstein, Physical Review A71, 055801 (2005), URL http://dx.doi.org/10.1103/physreva.71.055801
-
[46]
B.Yadin,F.C.Binder,J.Thompson,V.Narasimhachar,M.Gu, andM.Kim,PhysicalReviewX8,041038(2018),URLhttp: //dx.doi.org/10.1103/physrevx.8.041038
-
[48]
W. Jia, V. Xu, K. Kuns, M. Nakano, L. Barsotti, M. Evans, N. Mavalvala, members of the LIGO Scientific Collaboration†, R. Abbott, I. Abouelfettouh, et al., Science385, 1318 (2024), URLhttp://dx.doi.org/10.1126/science.ado8069
-
[49]
D. Gottesman and J. Preskill, Physical Review A63, 022309 (2001),URLhttp://dx.doi.org/10.1103/physreva.63. 022309
-
[50]
doi.org/10.1088/2058-9565/ada9c4
A.n.Oruganti,I.Derkach,R.Filip,andV.C.Usenko,Quantum ScienceandTechnology10,025023(2025),URLhttp://dx. doi.org/10.1088/2058-9565/ada9c4
-
[51]
K. Park, C. Oh, R. Filip, and P. Marek, Physical Review Applied18, 014060 (2022), URLhttp://dx.doi.org/10. 1103/physrevapplied.18.014060
work page 2022
-
[52]
S. L. Braunstein and H. J. Kimble, Physical Review Let- ters80, 869 (1998), URLhttp://dx.doi.org/10.1103/ physrevlett.80.869
work page 1998
-
[53]
A. Furusawa, J. L. Sørensen, S. L. Braunstein, C. A. Fuchs, H. J. Kimble, and E. S. Polzik, Science282, 706 (1998), URL http://dx.doi.org/10.1126/science.282.5389.706
- [54]
- [55]
-
[56]
K. Miyata, H. Ogawa, P. Marek, R. Filip, H. Yonezawa, J.-i. Yoshikawa, and A. Furusawa, Physical Review A93, 022301 (2016),URLhttp://dx.doi.org/10.1103/physreva.93. 022301
-
[57]
S. Konno, A. Sakaguchi, W. Asavanant, H. Ogawa, M.Kobayashi,P.Marek,R.Filip,J.-i.Yoshikawa,andA.Furu- sawa,PhysicalReviewApplied15,024024(2021),URLhttp: //dx.doi.org/10.1103/physrevapplied.15.024024
-
[58]
Š.BräuerandP.Marek,OpticsExpress29,22648(2021),URL http://dx.doi.org/10.1364/oe.427637
-
[59]
V. Kala, R. Filip, and P. Marek, Optics Express30, 31456 (2022), URLhttp://dx.doi.org/10.1364/oe.464759
-
[60]
Marek, Physical Review Letters132, 210601 (2024), URLhttp://dx.doi.org/10.1103/physrevlett.132
P. Marek, Physical Review Letters132, 210601 (2024), URLhttp://dx.doi.org/10.1103/physrevlett.132. 210601
-
[61]
Š.Bräuer, J.Provazník, V.Kala, andP.Marek,Supplement ma- terial for: Catability as a metric for evaluating superposed co- herent states(2025), see supplementary material for additional figures, derivations, and footnotes
work page 2025
- [62]
-
[63]
H. Le Jeannic, A. Cavaillès, K. Huang, R. Filip, and J. Laurat, Physical Review Letters120, 073603 (2018), URLhttp:// dx.doi.org/10.1103/physrevlett.120.073603
-
[64]
Optics Express31(3), 4041 (2023) https://doi.org/10.1364/OE
J. Provazník, P. Marek, J. Laurat, and R. Filip, Optics Express 33, 16520 (2025), URLhttp://dx.doi.org/10.1364/oe. 555180
work page doi:10.1364/oe 2025
-
[65]
J. S. Ivan, K. K. Sabapathy, and R. Simon, Physical Review A84, 042311 (2011), URLhttp://dx.doi.org/10.1103/ physreva.84.042311
work page 2011
-
[66]
A. Mari and J. Eisert, Physical Review Letters109, 230503 (2012),URLhttp://dx.doi.org/10.1103/physrevlett. 109.230503
-
[67]
H. Takahashi, K. Wakui, S. Suzuki, M. Takeoka, K. Hayasaka, A. Furusawa, and M. Sasaki, Physical Review Letters 101, 233605 (2008), URLhttp://dx.doi.org/10.1103/ physrevlett.101.233605
work page 2008
-
[68]
K. Takase, J.-i. Yoshikawa, W. Asavanant, M. Endo, and A. Furusawa, Physical Review A103, 013710 (2021), URL http://dx.doi.org/10.1103/physreva.103.013710
-
[69]
A. Ourjoumtsev, H. Jeong, R. Tualle-Brouri, and P. Grangier, Nature448, 784 (2007), ISSN 1476-4687
work page 2007
-
[70]
Commun.337, 96 (2015), ISSN 0030-4018
A.Laghaout,J.S.Neergaard-Nielsen,andU.L.Andersen,Opt. Commun.337, 96 (2015), ISSN 0030-4018
work page 2015
-
[71]
U. Chabaud, D. Markham, and F. Grosshans, Physical Review Letters124, 063605 (2020), URLhttp://dx.doi.org/10. 1103/physrevlett.124.063605
work page 2020
-
[72]
U. Chabaud, G. Roeland, M. Walschaers, F. Grosshans, V. Pa- rigi, D. Markham, and N. Treps, PRX Quantum2, 020333 (2021), URLhttp://dx.doi.org/10.1103/prxquantum. 2.020333
-
[73]
Fiurášek, Optics Express30, 30630 (2022), URLhttp:// dx.doi.org/10.1364/oe.466175
J. Fiurášek, Optics Express30, 30630 (2022), URLhttp:// dx.doi.org/10.1364/oe.466175
-
[74]
J.Cohen,W.C.Smith,M.H.Devoret,andM.Mirrahimi,Phys. Rev. Lett.119, 060503 (2017)
work page 2017
-
[75]
C. R. Harris, K. J. Millman, S. J. van der Walt, R. Gommers, P. Virtanen, D. Cournapeau, E. Wieser, J. Taylor, S. Berg, N. J. Smith, et al., Nature585, 357 (2020), URLhttp://dx.doi. org/10.1038/s41586-020-2649-2
-
[76]
P. Virtanen, R. Gommers, T. E. Oliphant, M. Haber- land, T. Reddy, D. Cournapeau, E. Burovski, P. Peterson, W. Weckesser, J. Bright, et al., Nature Methods17, 261 (2020), URLhttp://dx.doi.org/10.1038/s41592-019-0686-2
-
[77]
J.D.Hunter,ComputinginScience&Engineering9,90(2007), URLhttp://dx.doi.org/10.1109/mcse.2007.55. 7 Supplementary Material for: Catability as a metric for evaluating superposed coherent states Šimon Bräuer, Jan Provazník, Vojtěch Kala, Petr Marek Optics Department, Faculty of Science, Palacký University
-
[78]
Listopadu 12, 77146 Olomouc, Czech Republic (April 27, 2026) GAUSSIAN BENCHMARK FOR THE OPERATORˆO To determine the minimum expectation value of the operatorˆOover all Gaussian states, it is sufficient to consider onlypure Gaussian states. This follows from the linearity of expectation values and the convexity of mixed states: any expectation value for a ...
work page 2026
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