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Complex-Entropy Framework for Wigner Negativity

Updated 5 December 2025
  • The paper presents a framework that extends classical entropy concepts to quantify Wigner negativity through complex-valued measures.
  • It unifies classical uncertainty and quantum nonclassicality, remaining invariant under Gaussian unitaries while using the imaginary part to track negativity.
  • The approach offers practical metrics for non-Gaussian state synthesis and dynamic phase-space analysis in quantum control applications.

A complex-entropy framework for Wigner negativity provides a systematic method to quantify and analyze quantum nonclassicality directly in phase space. By extending classical information-theoretic functionals, such as the Gibbs–Shannon entropy and relative entropy, to the field of sign-indefinite quasiprobability distributions (notably the Wigner function), the framework yields complex-valued entropic quantities whose imaginary part precisely isolates and quantifies the Wigner-negative regions. This unifies classical uncertainty (spread) and nonclassicality (negativity) in a single analytic structure, enabling rigorous tracking of their evolution under Gaussian unitaries, noise, and external control.

1. Complex Entropy for Real Wigner Functions

The Wigner function W(x,p)W(x, p), normalized as ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=1, typically takes both positive and negative values. Extending the Shannon differential entropy to a real but sign-changing WW, the complex Wigner entropy is defined by analytic continuation of the logarithm: Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W] with

SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp

SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp

Given that WW is real, arg⁡W(x,p)\arg W(x,p) is $0$ in regions where W>0W>0 and ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=10 where ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=11: ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=12 The imaginary part, ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=13, is thus exactly proportional to the total negative volume of the Wigner function; this quantity is widely recognized as the Kenfack–Życzkowski negativity and serves as a precise measure of phase-space nonclassicality (Cerf et al., 2023, Park et al., 3 Dec 2025, Pizzimenti et al., 2023).

2. Invariance under Gaussian Unitaries and Channels

Both real and imaginary parts of the complex Wigner entropy are invariant under Gaussian unitaries—combinations of phase-space displacements, rotations, and squeezing transformations. Consider a phase-space transformation ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=14 with ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=15, the entropy satisfies: ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=16 This invariance ensures the complex entropy fundamentally characterizes intrinsic phase-space features, independent of specific Gaussian transformations (Cerf et al., 2023, Pizzimenti et al., 2023).

Under Gaussian noise (additive convolution of the Wigner function with a Gaussian kernel), the evolution is governed by the diffusion equation ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=17. The complex Wigner entropy evolves according to the extended de Bruijn identity: ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=18 where ∬W(x,p) dx dp=1\iint W(x,p)\,dx\,dp=19 is the complex Fisher information. Importantly, the imaginary part, and thus the total negative volume, decays under Gaussian noise (WW0), reflecting monotonic classicalization (Cerf et al., 2023).

3. Sign-Resolved Channel Decomposition and Fisher Information

A refined analysis decomposes the Wigner function into positive and negative "lobes": WW1 Defining WW2 and WW3, and normalized distributions WW4, the negative-lobe statistics WW5 and WW6 respectively measure the total negative volume and its phase-space distribution (Park et al., 3 Dec 2025).

The Fisher information associated with the negative lobe, WW7, quantifies the sensitivity of WW8 to an external parameter WW9: Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]0 A Cauchy–Schwarz–type bound constrains the rate at which the imaginary entropy, and hence Wigner negativity, may vary with Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]1: Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]2 where Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]3 is the non-centered second moment of the sensitivity score. This gives an operational limit on the reconfigurability of negativity in phase space (Park et al., 3 Dec 2025).

4. Complex-Valued Relative Entropy and Non-Gaussianity

For broader quantification of nonclassicality, the complex-valued relative entropy between a generic Wigner function and its Gaussian "associate" Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]4—the unique Gaussian with matching moments—is: Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]5 This complex quantity has

Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]6

exactly the Wigner negative volume, and

Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]7

the difference in (real-part) entropy between Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]8 and Sc[W]≡−∬W(x,p)ln⁡W(x,p) dx dp=SR[W]+i SI[W]S_c[W] \equiv -\iint W(x,p)\ln W(x,p)\,dx\,dp = S_R[W] + i\,S_I[W]9.

SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp0 is faithful (SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp1 iff SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp2 is Gaussian), invariant under Gaussian unitaries, and, under a sufficient monotonicity condition on the Fisher information, the real part decays monotonically under Gaussian channels. This structure enables SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp3 to serve as a bona fide non-Gaussianity measure unifying phase-space negativity and non-Gaussian shape (Pizzimenti et al., 2023).

5. Case Studies and Illustrative Examples

  • Thermal (Gaussian) state: SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp4 yields SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp5, SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp6.
  • Fock state: The Wigner function of SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp7 exhibits alternating positive/negative rings; SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp8 increases with SR[W]=−∬W(x,p)ln⁡∣W(x,p)∣ dx dpS_R[W] = -\iint W(x,p)\ln|W(x,p)|\,dx\,dp9 and tracks growing nonclassicality.
  • Schrödinger cat states: For SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp0 with large SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp1, SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp2 and SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp3 discriminating two-component negativity.
  • Oval quantum billiard: As a control parameter SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp4 tunes the billiard boundary, both the negative volume SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp5 and negative-channel Fisher information SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp6 peak near avoided crossings, signifying mode hybridization and heightened nonclassical interference. The Fisher bound is saturated at maxima, and phase-space slices exhibit finely structured negative regions (Park et al., 3 Dec 2025).
Example SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp7 (real/entropy) SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp8 (imaginary/negativity)
Thermal state SI[W]=−∬W(x,p)arg⁡W(x,p) dx dpS_I[W] = -\iint W(x,p)\arg W(x,p)\,dx\,dp9 WW0
Fock state WW1 increases with WW2 WW3 increases
Cat state WW4 WW5

6. Interpretation, Applications, and Limitations

The real part WW6 of the complex Wigner entropy generalizes phase-space differential entropy for distributions that may change sign, but loses direct operational meaning in highly nonclassical (sign-indefinite) cases. The imaginary part WW7 provides a faithful, operationally meaningful quantifier of nonclassicality via negativity.

The framework enables:

  • Resource-theoretic monotones for Wigner negativity (WW8, WW9) and non-Gaussianity (arg⁡W(x,p)\arg W(x,p)0, arg⁡W(x,p)\arg W(x,p)1).
  • Figures of merit for non-Gaussian state synthesis (cat/GKP encoding, photon subtraction).
  • Quantitative diagnostics for phase-space nonclassicality in mesoscopic and wave-chaotic systems with phase-space representations.

The construction is generic and extends to any real-valued phase-space representation, and to situations where symmetry-breaking or parameter control (as in quantum billiards) renders phase-space negativity and its reconfiguration experimentally or theoretically significant (Cerf et al., 2023, Park et al., 3 Dec 2025, Pizzimenti et al., 2023).

7. Broader Perspective and Outlook

The complex-entropy approach unifies the quantification of entropy and phase-space negativity, naturally connecting the geometry of the Wigner function’s support to information-theoretic measures. The sign-resolved decomposition and Fisher-channel analysis enable sensitivity diagnostics with operationally significant bounds. While the real part of the entropy loses some classical interpretation in general, the imaginary part supplies a robust, invariant, and monotone quantifier of quantum nonclassicality.

Numerical evidence shows robust monotonicity properties of the complex-valued non-Gaussianity measure under loss and noise, especially in quantum-optical resource states. A plausible implication is that these complex-entropy metrics are well-suited for optimizing and benchmarking non-Gaussian quantum protocols beyond what is possible with purely classical or negativity-only diagnostics.

Key results lay the groundwork for future studies extending these entropic and Fisher-information frameworks to multimode, high-dimensional, and dynamical quantum settings, and for investigating the operational role of quantum negativity across a broad class of wave-chaotic and quantum control systems (Cerf et al., 2023, Park et al., 3 Dec 2025, Pizzimenti et al., 2023).

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