Optimized Quantum States for Sensing in the Presence of Loss and Phase Noise
Pith reviewed 2026-06-26 20:04 UTC · model grok-4.3
The pith
Non-Gaussian states outperform squeezed vacuum by up to 2.2 dB in sensors with both photon loss and phase noise.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Numerically optimizing the quantum Fisher information across the loss and phase-noise landscape, we identify non-Gaussian states that outperform any Gaussian state. These fall into three classes: Fock-like, cubic-phase-like, and states with discrete rotational symmetry. Limiting the average number of photons in the input state to ar{n}=5, with 1-η = 5% photon loss and 200 mrad phase noise, the non-Gaussian advantage reaches up to 2.2 dB. Furthermore, we observe that the non-Gaussian advantage can persist even when the measurement strategy is homodyne detection.
What carries the argument
Numerical maximization of the quantum Fisher information over families of non-Gaussian states subject to simultaneous photon loss and phase noise.
If this is right
- Non-Gaussian states can deliver up to 2.2 dB better sensitivity than squeezed vacuum at five percent loss and two hundred milliradians phase noise.
- The advantage appears in three recurring classes of states: Fock-like, cubic-phase-like, and discrete rotational symmetry.
- Part of the non-Gaussian benefit survives when only homodyne detection is available.
- Squeezed vacuum is no longer optimal once phase noise is added to loss.
Where Pith is reading between the lines
- The same optimization procedure could be rerun for other values of loss and phase noise to map the full advantage landscape.
- Realizing the reported states would require specific nonlinear operations whose experimental overhead is not addressed here.
- Similar numerical searches might identify useful states for other metrology tasks that combine loss with additional noise sources.
Load-bearing premise
The numerical search is assumed to have located the global optimum within the states that were considered.
What would settle it
An experiment that prepares one of the reported non-Gaussian states with average photon number five, applies five percent loss and two hundred milliradians of phase noise, and measures whether its sensitivity exceeds that of squeezed vacuum by approximately 2.2 dB.
Figures
read the original abstract
Squeezed vacuum lets gravitational-wave detectors and other quantum sensors surpass the standard quantum limit, and is optimal in the loss-limited regime; phase noise breaks this optimality. Numerically optimizing the quantum Fisher information across the loss and phase-noise landscape, we identify non-Gaussian states that outperform any Gaussian state. These fall into three classes: Fock-like, cubic-phase-like, and states with discrete rotational symmetry. Limiting the average number of photons in the input state to $\bar{n}=5$, with $1-\eta = 5\%$ photon loss and 200 mrad phase noise, the non-Gaussian advantage reaches up to 2.2 dB. Furthermore, we observe that the non-Gaussian advantage can persist even when the measurement strategy is homodyne detection.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript claims that numerically maximizing the quantum Fisher information over quantum states subject to photon loss and phase noise identifies non-Gaussian states that outperform all Gaussian states. For an average photon number ar n=5, 5% loss, and 200 mrad phase noise, the advantage reaches 2.2 dB; the states belong to three classes (Fock-like, cubic-phase-like, discrete rotational symmetry). The advantage is reported to survive even when the measurement is restricted to homodyne detection.
Significance. If the numerical results are confirmed to represent a genuine improvement, the work would be significant for quantum metrology in realistic noisy channels, showing that non-Gaussian resources can be useful when phase noise is present in addition to loss. The observation that the advantage persists under homodyne detection is a concrete strength, as it lowers the experimental barrier. The approach relies on standard QFI and direct numerical optimization rather than analytic bounds.
major comments (2)
- [Section 4] Section 4 (Numerical optimization procedure): the manuscript does not state the photon-number cutoff or Hilbert-space truncation used for the state search at ar n=5. Without this information it is impossible to verify that the reported 2.2 dB advantage is not an artifact of incomplete exploration, which directly affects the central claim that the identified states outperform any Gaussian state.
- [Figure 3] Figure 3 and associated text: the comparison to Gaussian states is performed only against a limited set of squeezed-vacuum and coherent states; it is not shown that an exhaustive optimization over all Gaussian states (parameterized by their covariance matrix under the same loss and phase-noise model) was carried out to establish the gap.
minor comments (2)
- [Abstract] The abstract introduces the class of 'states with discrete rotational symmetry' without a short definition or reference; adding one sentence would improve clarity for readers outside the immediate subfield.
- [Equation (3)] Equation (3) (phase-noise channel): the precise form of the phase-noise distribution (e.g., Gaussian width or support) is referenced but not written explicitly; including it would make the model self-contained.
Simulated Author's Rebuttal
We thank the referee for their thorough review and constructive comments. We respond point-by-point to the major comments below.
read point-by-point responses
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Referee: [Section 4] Section 4 (Numerical optimization procedure): the manuscript does not state the photon-number cutoff or Hilbert-space truncation used for the state search at ar n=5. Without this information it is impossible to verify that the reported 2.2 dB advantage is not an artifact of incomplete exploration, which directly affects the central claim that the identified states outperform any Gaussian state.
Authors: We agree that the photon-number cutoff used in the numerical search should have been stated explicitly. We will revise Section 4 to report the truncation employed for ar n=5 together with a brief statement on how its sufficiency was verified. revision: yes
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Referee: [Figure 3] Figure 3 and associated text: the comparison to Gaussian states is performed only against a limited set of squeezed-vacuum and coherent states; it is not shown that an exhaustive optimization over all Gaussian states (parameterized by their covariance matrix under the same loss and phase-noise model) was carried out to establish the gap.
Authors: The manuscript's claim that the identified states outperform any Gaussian state rests on a numerical maximization of the QFI over the full set of Gaussian states (i.e., over all admissible covariance matrices) subject to the identical loss and phase-noise channel. Figure 3 displays only representative members of that family for visual clarity. We will revise the text and caption of Figure 3 to state this explicitly and thereby confirm that the reported advantage is measured against the globally optimal Gaussian state. revision: yes
Circularity Check
Numerical QFI optimization against Gaussian benchmark shows no circular reduction
full rationale
The central result is obtained by direct numerical maximization of the quantum Fisher information over input states (with fixed ar n=5) subject to explicit loss and phase-noise channels, then comparing the optimum to the separately computed Gaussian-state maximum. No equation or procedure reduces the reported non-Gaussian advantage to a fitted parameter, a self-citation, or a definitional identity; the 2.2 dB figure is an output of the search rather than an input restated. The derivation is therefore self-contained against the external Gaussian benchmark and standard QFI definition.
Axiom & Free-Parameter Ledger
axioms (1)
- standard math Quantum mechanics is valid and the quantum Fisher information correctly quantifies the ultimate precision limit for parameter estimation.
Reference graph
Works this paper leans on
-
[1]
Giovannetti, S
V. Giovannetti, S. Lloyd, and L. Maccone, Quantum metrology, Phys. Rev. Lett.96, 010401 (2006)
2006
-
[2]
J. Aasi, J. Abadie, B. P. Abbott, R. Abbott, T. D. Ab- bott, M. R. Abernathy, C. Adams, T. Adams, P. Ad- desso, R. X. Adhikari,et al., Enhanced sensitivity of the LIGO gravitational wave detector by using squeezed states of light, Nature Photon.7, 613 (2013)
2013
-
[3]
M. Tse, H. Yu, N. Kijbunchoo, A. Fernandez-Galiana, P. Dupej, L. Barsotti, C. D. Blair, D. D. Brown, S. E. Dwyer, A. Effler, M. Evans, P. Fritschel, V. V. Frolov, A. C. Green, G. L. Mansell, F. Matichard, N. Maval- vala, D. E. McClelland, L. McCuller, T. McRae, J. Miller, A. Mullavey, E. Oelker, I. Y. Phinney, D. Sigg, B. J. J. Slagmolen, T. Vo, R. L. War...
2019
-
[4]
Acernese, M
F. Acernese, M. Agathos, L. Aiello, A. Allocca, A. Am- ato, S. Ansoldi, S. Antier,et al., Increasing the astro- physical reach of the advanced Virgo detector via the ap- plication of squeezed vacuum states of light, Phys. Rev. Lett.123, 231108 (2019)
2019
-
[5]
C. M. Caves, Quantum-mechanical noise in an interfer- ometer, Phys. Rev. D23, 1693 (1981)
1981
-
[6]
B. M. Escher, R. L. de Matos Filho, and L. Davidovich, General framework for estimating the ultimate preci- sion limit in noisy quantum-enhanced metrology, Nature Phys.7, 406 (2011)
2011
-
[7]
Demkowicz-Dobrza´ nski, J
R. Demkowicz-Dobrza´ nski, J. Ko lody´ nski, and M. Gut ¸˘ a, The elusive Heisenberg limit in quantum-enhanced metrology, Nat. Commun.3, 1063 (2012)
2012
-
[8]
M. D. Lang and C. M. Caves, Optimal Quantum- Enhanced Interferometry Using a Laser Power Source, Physical Review Letters111, 173601 (2013)
2013
-
[9]
Demkowicz-Dobrzanski, U
R. Demkowicz-Dobrzanski, U. Dorner, B. J. Smith, J. S. Lundeen, W. Wasilewski, K. Banaszek, and I. A. Walm- sley, Quantum phase estimation with lossy interferome- ters, Phys. Rev. A80, 013825 (2009)
2009
-
[10]
M. G. Genoni, S. Olivares, and M. G. A. Paris, Optical phase estimation in the presence of phase diffusion, Phys. Rev. Lett.106, 153603 (2011)
2011
-
[11]
McCuller, S
L. McCuller, S. E. Dwyer, A. C. Green, H. Yu, L. Bar- sotti, C. D. Blair, D. D. Brown, A. Effler, M. Evans, A. Fernandez-Galiana, P. Fritschel, V. V. Frolov, N. Ki- jbunchoo, G. L. Mansell, F. Matichard, N. Mavalvala, D. E. McClelland, T. McRae, A. Mullavey, D. Sigg, 6 B. J. J. Slagmolen, M. Tse, T. Vo, R. L. Ward, C. Whit- tle,et al., LIGO’s quantum resp...
2021
-
[12]
P. T. Grochowski and R. Filip, Optimal phase-insensitive force sensing with non-gaussian states, Phys. Rev. Lett. 135, 230802 (2025)
2025
-
[13]
Giovannetti, S
V. Giovannetti, S. Lloyd, and L. Maccone, Advances in quantum metrology, Nature Photon.5, 222 (2011)
2011
-
[14]
S. L. Braunstein and C. M. Caves, Statistical distance and the geometry of quantum states, Phys. Rev. Lett. 72, 3439 (1994)
1994
-
[15]
J. W. Gardner, T. Gefen, S. A. Haine, J. J. Hope, J. Preskill, Y. Chen, and L. McCuller, Stochastic wave- form estimation at the fundamental quantum limit, PRX Quantum6, 030311 (2025)
2025
-
[16]
See the Supplementary Material
-
[17]
Ourjoumtsev, R
A. Ourjoumtsev, R. Tualle-Brouri, J. Laurat, and P. Grangier, Generating optical Schr¨ odinger kittens for quantum information processing, Science312, 83 (2006)
2006
-
[18]
J. S. Neergaard-Nielsen, B. M. Nielsen, C. Hettich, K. Mølmer, and E. S. Polzik, Generation of a superposi- tion of odd photon number states for quantum informa- tion networks, Phys. Rev. Lett.97, 083604 (2006)
2006
-
[19]
Takahashi, K
H. Takahashi, K. Wakui, S. Suzuki, M. Takeoka, K. Hayasaka, A. Furusawa, and M. Sasaki, Genera- tion of large-amplitude coherent-state superposition via ancilla-assisted photon subtraction, Phys. Rev. Lett. 101, 233605 (2008)
2008
-
[20]
Yanagimoto, T
R. Yanagimoto, T. Onodera, E. Ng, L. G. Wright, P. L. McMahon, and H. Mabuchi, Engineering a kerr-based deterministic cubic phase gate via gaussian operations, Phys. Rev. Lett.124, 240503 (2020)
2020
-
[21]
Eaton, R
M. Eaton, R. Nehra, and O. Pfister, Non-Gaussian and Gottesman–Kitaev–Preskill state preparation by photon catalysis, New J. Phys.21, 113034 (2019)
2019
-
[22]
M. V. Larsen, J. E. Bourassa, S. Kocsis, J. F. Tasker, R. S. Chadwick, C. Gonz´ alez-Arciniegas, J. Hastrup, C. E. Lopetegui-Gonz´ alez, F. M. Miatto, A. Motamedi, R. Noro, G. Roeland, R. Baby, H. Chen, P. Contu, I. Di Luch, C. Drago, M. Giesbrecht, T. Grainge, I. Krasnokutska, M. Menotti, B. Morrison, C. Puviraj, K. Rezaei Shad, B. Hussain, J. McMahon, J...
2025
-
[23]
Budinger, A
N. Budinger, A. Furusawa, and P. van Loock, All-optical quantum computing using cubic phase gates, Phys. Rev. Res.6, 023332 (2024)
2024
-
[24]
A. M. Eriksson, T. S´ epulcre, M. Kervinen, T. Hillmann, M. Kudra, S. Dupouy, Y. Lu, M. Khanahmadi, J. Yang, C. Castillo-Moreno, P. Delsing, and S. Gasparinetti, Uni- versal control of a bosonic mode via drive-activated na- tive cubic interactions, Nature Communications15, 2512 (2024). End Matter Classical Fisher information.— While the symmetric logarith...
2024
-
[25]
We find that homodyne measurement is optimal in the absence of phase noise (see the Supplementary Mate- rial), or when phase noise is negligible with high loss (η= 0.5,σ ϕ = 0.1), nearly or completely recovering the QFI
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[26]
Here, homodyne is exponentially worse with increasing phase noise, whiledisplacedPNR and par- ity measurements remain nearly optimal, recovering the QFI across the entire region
The optimized states remaining squeezed vacuum in the rest of region I, the lossless case, can be explained by the observation that phase noise preserves the pho- ton number of the state, while displacement operations do not. Here, homodyne is exponentially worse with increasing phase noise, whiledisplacedPNR and par- ity measurements remain nearly optima...
-
[27]
This suggests that the optimal measurement is more complex and requires further investigation
In region II, where the optimized states are Fock-like, none of the considered measurements recover the en- tire QFI, but displaced PNR performs best and beats squeezed vacuum with homodyne by a large margin. This suggests that the optimal measurement is more complex and requires further investigation
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[28]
Displaced PNR is nearly optimal at high loss and phase noise
In region III, where the optimized states are cubic- phase-like, we find that the best measurement varies. Displaced PNR is nearly optimal at high loss and phase noise. Whenσ ϕ >0.1, displaced PNR is still the best among considered measurements, but the gap requires further investigation. Whenσ ϕ = 0.1, the non-Gaussian advantage is not realized by any of...
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[29]
Observations in the low loss grid:
Region IV requires further investigation as none of the considered measurements realize the non-Gaussian ad- vantage, and the optimal measurement is likely to be more complex. Observations in the low loss grid:
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[30]
An extension of region IV from the coarse grid (see the Supplementary Material) where the optimized states have other non-Gaussian morphology, we find that none of the considered measurements recover the ad- vantage, and the optimal measurement is likely to be more complex
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[31]
In the rest of the low-loss grid with finite loss and phase noise,displaced PNR is the best among the con- sidered measurements
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[32]
This is shown in Fig
In the low loss grid, there is also a region where there is a non-Gaussian advantage that can even be real- ized by homodyne measurement, which is the case for the cat states and squeezed cat states. This is shown in Fig. 5. The advantage with homodyne is up to 4 dB atη= 0.99. However, switching to displaced PNR with the best non-Gaussian state results in...
discussion (0)
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