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Hybrid Magic Entropy in Quantum Systems

Updated 8 July 2026
  • Hybrid Magic Entropy is a framework that merges nonstabilizerness (magic) with various entropy measures to characterize quantum states and resources.
  • It integrates pure and mixed state analyses by combining stabilizer Rényi entropy, entanglement entropy, and hybrid phase-space distributions across spin, bosonic, and fermionic systems.
  • Applications in random states, monitored circuits, and many-body systems demonstrate its effectiveness for resource certification, noise resilience, and tracking phase transitions.

Hybrid Magic Entropy denotes a family of entropic constructions that couple nonstabilizerness, or “magic,” to entropy, entanglement, or hybrid phase-space structure. The phrase does not refer to a single standardized invariant. In current quantum-information usage, it can denote a composite treatment of stabilizer Rényi entropy and entanglement entropy in random states, an entropy-corrected mixed-state witness such as Wα(ρ)=Mα(ρ)2S2(ρ)\mathcal W_\alpha(\rho)=M_\alpha(\rho)-2S_2(\rho), or a phase-space entropy for systems combining spin, bosonic, or fermionic degrees of freedom (Szombathy et al., 20 Jan 2025, Haug et al., 25 Apr 2025, Crew et al., 8 Aug 2025, Sarkis et al., 5 Sep 2025). This suggests that the term is best understood as an umbrella label for entropic formalisms that quantify magic together with statistical structure, mixedness, locality, or subsystem composition.

1. Foundational definitions

For pure NN-qubit states, the most common starting point is the stabilizer Rényi entropy of order $2$. With Hilbert-space dimension d=2Nd=2^N and unsigned Pauli group PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N, one defines

Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,

and

M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).

This normalization ensures that M2=0M_2=0 for stabilizer states and that M2M_2 is additive for product states. The same framework also gives Clifford invariance, faithfulness, and the upper bound

M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).

In the Haar-random setting, the paper further quotes

NN0

as a lower bound on the average (Szombathy et al., 20 Jan 2025).

For mixed states, the central object is no longer the pure-state Pauli distribution alone but an entropy-corrected quantity. Defining

NN1

one introduces the witness

NN2

For pure states NN3, NN4, so the mixed-state witness reduces to the usual pure-state stabilizer Rényi entropy. This construction makes entropy explicit: mixedness decreases the witness through the NN5 term (Haug et al., 25 Apr 2025).

In hybrid spin-boson settings, the definition moves from Pauli spectra to hybrid phase space. For a joint state NN6 on bosons and spins, the hybrid Weyl function is

NN7

with normalized phase-space density

NN8

Its NN9-Rényi entropy $2$0 is then shifted to define a hybrid magic entropy $2$1 that vanishes on the corresponding free sets, namely stabilizer states for spins and Gaussian states for bosons (Crew et al., 8 Aug 2025). The literature is therefore structurally unified by a common pattern: build a positive distribution from phase-space or Pauli data, take a Rényi-type entropy, and shift or combine it so that free states have zero magic.

2. Random states, entanglement, and composite magic–entropy functionals

For Haar-random pure states, the joint distribution of magic and entanglement provides one of the clearest meanings of Hybrid Magic Entropy. In the half-chain bipartition used in the random-state analysis, the von Neumann entropy is

$2$2

while magic is quantified by $2$3. Numerically, the joint distribution $2$4 becomes exponentially localized around

$2$5

with marginal widths

$2$6

and covariance

$2$7

Equivalently,

$2$8

Magic and entanglement are therefore both typically large, but their fluctuations become exponentially uncorrelated (Szombathy et al., 20 Jan 2025).

This asymptotic decoupling is the main reason the random-state literature motivates hybrid functionals. Although exponentially many states with $2$9 and d=2Nd=2^N0 exist, they form an exponentially small fraction of Hilbert space. Typical Haar-like states instead simultaneously exhibit large magic and near-Page entanglement. The same work notes that product states produced by d=2Nd=2^N1 gates can reach only

d=2Nd=2^N2

which is substantially below the many-body upper bound, underscoring that entanglement facilitates higher many-body magic (Szombathy et al., 20 Jan 2025).

A possible hybrid metric, explicitly described as not proposed by the paper but consistent with its findings, is

d=2Nd=2^N3

Using the reported scalings,

d=2Nd=2^N4

and

d=2Nd=2^N5

Because the covariance term is exponentially negligible, the variance is dominated by the marginal variances. This suggests that in Haar-like ensembles a composite magic–entanglement functional inherits sharp concentration from the separate concentration of d=2Nd=2^N6 and d=2Nd=2^N7 (Szombathy et al., 20 Jan 2025).

3. Mixed states: entropy-corrected witnesses and bounded-entropy testing

In mixed-state resource theory, Hybrid Magic Entropy is most naturally realized by witnesses that combine a magic term with an explicit entropy penalty. The basic witness d=2Nd=2^N8 is genuine in the sense that, for any d=2Nd=2^N9, PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N0 implies that PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N1 is nonstabilizer, while mixed stabilizer states satisfy PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N2. The same framework gives rigorous bounds on standard monotones: PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N3 A filtered variant PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N4 is stated to be strictly more sensitive than PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N5 while having the same asymptotic scaling (Haug et al., 25 Apr 2025).

The mixed-state theory is algorithmic as well as formal. For odd PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N6, there is an efficient procedure to estimate PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N7 to additive precision PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N8 with failure probability PN{1,X,Y,Z}N\mathcal P_N\equiv\{1,X,Y,Z\}^N9 using

Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,0

copies, Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,1 circuit depth, and

Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,2

classical time. In the bounded-entropy regime Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,3, this leads to a polyΞψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,4-copy property test that distinguishes states with Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,5 from states with Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,6 by estimating Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,7 and thresholding Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,8 (Haug et al., 25 Apr 2025).

The same entropy-sensitive formalism supports certification problems. For noisy product Ξψ(σ)=1dψσψ2,\Xi_\psi(\sigma)=\frac{1}{d}\,\langle\psi|\sigma|\psi\rangle^2,9-states subject to mixed unital Clifford noise,

M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).0

the paper proves an efficient algorithm, again assuming M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).1, to distinguish whether M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).2 or M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).3. In the noiseless product case,

M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).4

so the third-moment estimator calibrates a lower bound on the number of injected non-Clifford resources. The mixed-state witness is also robust under global depolarizing noise. For

M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).5

the filtered witness remains positive for typical flat-Pauli-spectrum pure states whenever M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).6, which the paper describes as persistence of magic under exponentially strong noise (Haug et al., 25 Apr 2025).

These constructions extend to many-body numerics. For an M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).7-qubit subsystem M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).8 of an MPS with bond dimension M2(ψ)log2σPNΞψ2(σ)log2(d).M_2(|\psi\rangle)\equiv -\log_2\sum_{\sigma\in\mathcal P_N}\Xi_\psi^2(\sigma)-\log_2(d).9, M2=0M_2=00 can be computed to additive precision M2=0M_2=01 in

M2=0M_2=02

time, and M2=0M_2=03 exactly for integer M2=0M_2=04 in

M2=0M_2=05

time. Applied to the transverse-field Ising chain, the witness grows roughly linearly with subsystem size near criticality and can be extensive despite entanglement. The same paper further states a cryptographic consequence: to mimic high-magic states with as little magic as possible, one requires an extensive amount of entropy, so entropy becomes a necessary resource to hide magic from eavesdroppers (Haug et al., 25 Apr 2025).

4. Monitored circuits, free fermions, and dynamical separation

Hybrid monitored circuits supply a second major arena in which Hybrid Magic Entropy acquires a concrete meaning. In a one-dimensional brickwork circuit of random two-qubit Clifford gates, stochastic M2=0M_2=06-gate injection, and stochastic M2=0M_2=07-basis measurements, entanglement and magic undergo distinct measurement-induced transitions. For the main case M2=0M_2=08 with M2=0M_2=09, the entanglement threshold remains near

M2M_20

while the magic transition, measured by stabilizer M2M_21-Rényi entropy, occurs at the larger value

M2M_22

This yields an intermediate regime in which entanglement is area law but magic remains sub-extensive. The paper interprets the separation by noting that entanglement across a cut is constrained by the number of two-site gates crossing that cut, whereas magic can be created locally by single-qubit M2M_23 gates and then protected by entangling Clifford dynamics (Fux et al., 2023).

In monitored free-fermion circuits, the structure is different but related. There the total stabilizer Rényi entropy remains extensive in both the critical and area-law entanglement phases. The phase-sensitive quantity is instead the bipartite stabilizer mutual information, which scales logarithmically in the critical phase and saturates to a finite constant in the area-law phase. For projective measurements, the transition is reported within

M2M_24

The dynamics are also anomalously slow: in the purely unitary case,

M2M_25

so the saturation time scales as M2M_26, while in the monitored critical phase the collapse is controlled by M2M_27 and the early-time form is

M2M_28

The paper’s conclusion is that total magic is dominated by local contributions, whereas the nonlocal structure of magic tracks the entanglement critical point (Wang et al., 14 Jul 2025).

A broader dynamical comparison comes from ergodic Floquet and Hamiltonian systems. Using participation entropy and stabilizer entropy as paired diagnostics, Floquet dynamics exhibits exponential relaxation with size-independent rates,

M2M_29

and saturation times

M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).0

By contrast, the mixed-fields Ising Hamiltonian shows power-law relaxation with exponents

M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).1

sub-Haar stationary values, and

M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).2

The same work proposes a composite diagnostic

M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).3

with corresponding interpolation between Floquet-like M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).4 saturation and Hamiltonian M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).5 saturation (Tirrito et al., 2024).

5. Hybrid spin–boson and boson–fermion formalisms

In genuine hybrid quantum systems, Hybrid Magic Entropy becomes a phase-space quantity rather than a simple sum of subsystem entropies. For spin–boson systems, the construction uses the hybrid Weyl function

M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).6

the normalized probability density

M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).7

and the corresponding Rényi entropy M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).8. The hybrid magic entropy is then defined by shifting M2(ψ)log2 ⁣(2N+12).M_2(|\psi\rangle)\le \log_2\!\left(\frac{2^N+1}{2}\right).9 so that product free states have zero resource value. For product states, additivity holds: NN00 The associated mutual magic entropy is

NN01

which vanishes on product free states and is positive in the perturbative Dicke-model regime studied in the paper (Crew et al., 8 Aug 2025).

This framework detects collective many-body phenomena. In the Dicke model

NN02

the critical coupling is

NN03

For NN04 and NN05, the spin magic entropy NN06, the hybrid magic entropy NN07, and the mutual magic entropy NN08 all show a sharp peak or divergence-like trend at NN09, while the bosonic Gaussian entropy exhibits a step-like transition. In the Jaynes–Cummings model, NN10, NN11, and NN12 oscillate after quenches from Fock or coherent initial states, and the global state satisfies NN13 at times NN14 because it is then a product state (Crew et al., 8 Aug 2025).

A related boson–fermion program uses Grassmann phase space and a hybrid Wigner function NN15. There the entropy-like quantity is

NN16

built from a superspace NN17 norm of the hybrid Wigner function. In product form it decomposes into a bosonic generalized mana and a fermionic stabilizer Rényi entropy. The paper uses this formalism for the Holstein polaron, where phonon–electron coupling enhances hybrid magic growth, and for the fermionic Jaynes–Cummings model, where the maximum hybrid magic for Fock initial states scales approximately as

NN18

At the gate level it derives a closed form for the conditional displacement gate and finds saturation

NN19

(Sarkis et al., 5 Sep 2025).

6. Generalizations, neighboring notions, and terminological boundaries

Several adjacent constructions broaden the meaning of Hybrid Magic Entropy. A convolution-based program defines “magic entropy” for qubits by

NN20

for odd-prime qudits by

NN21

and for mixed-dimensional systems by a tensor-product hybrid convolution channel

NN22

leading to

NN23

This formulation applies to states and, via Choi states, to gates, while preserving additivity, Clifford invariance, and experimental accessibility through swap tests (Bu et al., 2023).

Other extensions refine locality, multipartite structure, or low-order accessibility. The Heisenberg-picture operator stabilizer Rényi entropy defines an operator-space analogue with maximal value NN24 and a Lieb–Robinson-type locality bound, making it suited to local dynamical magic generation (Dowling et al., 2024). The multipartite non-local magic functional

NN25

isolates connected NN26-body magic and can be positive, zero, or negative; this naturally suggests signed hybrid decompositions that separate local from genuinely global nonstabilizerness (Malvimat et al., 6 Jan 2026). For interacting fermions, the two-point stabilizer Rényi entropy

NN27

provides a computable local proxy that captures the Luttinger-liquid–to–charge-density-wave transition, the Gross–Neveu–Ising critical exponent NN28 on the honeycomb lattice, and short-range exclusion structure in the Laughlin state (Fang et al., 19 Jan 2026).

At a more abstract level, parameterized entropic magic quantifiers based on quantum NN29 Jensen–Shannon divergences define

NN30

and establish pure-state relations between the entropy-based and relative-entropy-based versions. These quantifiers are proposed as new tools for magic resource theory and can be efficiently computed in low-dimensional Hilbert spaces (Wang et al., 8 Apr 2026).

The term also admits two important disambiguations. First, “hybrid entropy” in the sense of Jizba–Arimitsu entropy combines Rényi and Tsallis axioms through escort averaging and NN31-deformed composition, but the word “magic” does not appear there; it is a distinct generalized-entropy program rather than a nonstabilizerness measure (Çankaya et al., 2016). Second, in magic-angle twisted bilayer graphene, “magic” refers to the twist angle. The entropic phenomenology near NN32 concerns a Pomeranchuk-like transition, a large entropy of about NN33 per moiré unit cell, and a high-entropy correlated state with nearly-free magnetic moments. That usage is conceptually separate from stabilizer magic, even though the phrase “magic entropy” can appear superficially similar (Rozen et al., 2020).

Taken together, these strands show that Hybrid Magic Entropy is not a single formula but a research program. In one direction it means combining magic with entanglement or mixedness; in another it means defining entropic magic directly on hybrid phase spaces; in yet another it means isolating nonlocal, low-order, or operator-space components of magic. The common theme is the replacement of a bare binary distinction—stabilizer versus nonstabilizer—by a quantitative entropic landscape in which magic can be concentrated, witnessed, separated from entanglement, distributed across subsystems, or embedded in hybrid matter and hybrid architectures.

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