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arXiv:2610.39712

Maximum-Entropy Ensemble of Quantum Subsystems with a Fixed Average State

Charlie Shakeshaft, Christopher David White, Harry J. D. Miller

quant-phcond-mat.stat-mechSubmitted Oct 29, 2026• Announced Oct 30, 2026• 0 citations
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Abstract

The reduced density matrices of Haar-random bipartite states form a fixed-trace version of the Wishart ensemble of random matrices, with an asymptotic eigenvalue density given by the Marchenko--Pastur (MP) law. We establish a similar universal form for the maximum-entropy distribution of mixed states subject to a fixed ensemble average, arguing that its eigenvalue density converges asymptotically to that of the correlated Wishart ensemble (CWE). The density is thus obtained by a free multiplicative convolution formula, which we apply to the transverse-field Ising model (TFIM) with a thermal average state to derive a high-temperature leading-order correction to the MP law. We then consider measurement by a random POVM on the purification of the mixed reference state. We show that the resulting mixed-state ensemble is asymptotically equivalent to the CWE, and provide confirming numerical evidence. We return to the TFIM example to compute the entanglement of the system with the ancilla after measurement, and give finite-temperature Page curves for the average entanglement entropies.

AI Summary

The paper asks how the induced ensemble of random mixed states changes when its ensemble average is fixed to a reference state $\rho_0$. Starting from the measure obtained by tracing a Haar-random state on $\mathbb C^d\otimes\mathbb C^K$, it maximises relative entropy subject to $\langle\rho\rangle=\rho_0$, obtaining $P_{\mathrm{ME}}(\rho)\propto e^{-\operatorname{Tr}M\rho}(\det\rho)^{K-d}$ on unit-trace positive matrices. It derives a partition function through an inverse Laplace transform, giving access to constraints and observable cumulants. The main result connects this ensemble asymptotically to normalised correlated Wishart matrices with covariance $\rho_0$. The proofs couple both ensembles to a distribution with fixed weights in the reference-state eigenbasis, giving Wasserstein bounds of order $K^{-1/2}$. Trace-concentration bounds then connect normalised and unnormalised Wishart spectra. The resulting limiting spectral density is expressed as the free multiplicative convolution of the spectral measure of $d\rho_0$ with the Marchenko–Pastur law. A continuous Gaussian-indexed POVM on a purification produces a Born-weighted version of the normalised Wishart ensemble, whose total-variation distance from the latter is bounded by $1/(2\sqrt K)$. For thermal transverse-field Ising reference states, numerical inversion of the S-transform gives spectral densities and finite-temperature Page curves, with reduced entanglement and asymmetric subsystem-size dependence. A high-temperature expansion gives the leading correction to Marchenko–Pastur statistics. The entropy-maximisation construction assumes $K\ge d$; the multiplier identification $M\approx K\rho_0^{-1}$ is argued non-rigorously. The Ising calculations use an approximately Gaussian density of states, and simultaneous constraints on both subsystems remain an extension.

Little sign of AI-generated text

Error found: The Gaussian bulk density-of-states approximation does not justify arbitrary-fixed-temperature predictions for an unscaled TFIM: already at J=0 it gives an extensively incorrect logarithm of the partition function, so an appropriate scaling or temperature restriction is required.

Written by gpt-6.1-sol from the paper's full text. Automated: it can be wrong.

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27 pages, 7 figures

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The reduced density matrices of Haar-random bipartite states form a fixed-trace version of the Wishart ensemble of random matrices, with an asymptotic eigenvalue density given by the Marchenko--Pastur (MP) law. We establish a similar universal form for the maximum-entropy distribution of mixed states subject to a fixed ensemble average, arguing that its eigenvalue density converges asymptotically to that of the correlated Wishart ensemble (CWE). The density is thus obtained by a free multiplicative convolution formula, which we apply to the transverse-field Ising model (TFIM) with a thermal average state to derive a high-temperature leading-order correction to the MP law. We then consider measurement by a random POVM on the purification of the mixed reference state. We show that the resulting mixed-state ensemble is asymptotically equivalent to the CWE, and provide confirming numerical evidence. We return to the TFIM example to compute the entanglement of the system with the ancilla after measurement, and give finite-temperature Page curves for the average entanglement entropies.
The paper asks how the induced ensemble of random mixed states changes when its ensemble average is fixed to a reference state ρ0\rho_0ρ0​. Starting from the measure obtained by tracing a Haar-random state on Cd⊗CK\mathbb C^d\otimes\mathbb C^KCd⊗CK, it maximises relative entropy subject to ⟨ρ⟩=ρ0\langle\rho\rangle=\rho_0⟨ρ⟩=ρ0​, obtaining PME(ρ)∝e−Tr⁡Mρ(det⁡ρ)K−dP_{\mathrm{ME}}(\rho)\propto e^{-\operatorname{Tr}M\rho}(\det\rho)^{K-d}PME​(ρ)∝e−TrMρ(detρ)K−d on unit-trace positive matrices. It derives a partition function through an inverse Laplace transform, giving access to constraints and observable cumulants.
The main result connects this ensemble asymptotically to normalised correlated Wishart matrices with covariance ρ0\rho_0ρ0​. The proofs couple both ensembles to a distribution with fixed weights in the reference-state eigenbasis, giving Wasserstein bounds of order K−1/2K^{-1/2}K−1/2. Trace-concentration bounds then connect normalised and unnormalised Wishart spectra. The resulting limiting spectral density is expressed as the free multiplicative convolution of the spectral measure of dρ0d\rho_0dρ0​ with the Marchenko–Pastur law. A continuous Gaussian-indexed POVM on a purification produces a Born-weighted version of the normalised Wishart ensemble, whose total-variation distance from the latter is bounded by 1/(2K)1/(2\sqrt K)1/(2K​).
For thermal transverse-field Ising reference states, numerical inversion of the S-transform gives spectral densities and finite-temperature Page curves, with reduced entanglement and asymmetric subsystem-size dependence. A high-temperature expansion gives the leading correction to Marchenko–Pastur statistics. The entropy-maximisation construction assumes K≥dK\ge dK≥d; the multiplier identification M≈Kρ0−1M\approx K\rho_0^{-1}M≈Kρ0−1​ is argued non-rigorously. The Ising calculations use an approximately Gaussian density of states, and simultaneous constraints on both subsystems remain an extension.
We discuss an application of the random matrix theory in the context of estimating the bipartite entanglement of a quantum system. We discuss how the Wishart ensemble (the earliest studied random matrix ensemble) appears in this quantum problem. The eigenvalues of the reduced density matrix of one of the subsystems have similar statistical properties as those of the Wishart matrices, except that their {\em trace is constrained to be unity}. We focus here on the smallest eigenvalue which serves as an important measure of entanglement between the two subsystems. In the hard edge case (when the two subsystems have equal sizes) one can fully characterize the probability distribution of the minimum eigenvalue for real, complex and quaternion matrices of all sizes. In particular, we discuss the important finite size effect due to the {\em fixed trace constraint}.
Abstract The Wishart ensemble is a useful and important random matrix model used in diverse fields. By realizing induced random mixed quantum states as a Wishart ensemble with fixed unit trace, using matrix integral technique we give a fast track to the average coherence for random mixed quantum states induced via partial-tracing of the Haar-distributed bipartite pure states. As a direct consequence of this result, we get a compact formula for the average subentropy of random mixed states. These compact formulae extend our previous work.
We study the average bipartite entanglement entropy of Haar-random pure states in quantum many-body systems with global SU(2)\mathrm{SU}(2)SU(2) symmetry, constrained to fixed total spin JJJ and magnetization Jz=0J_z = 0Jz​=0. Focusing on spin-12\tfrac1221​ lattices and subsystem fractions f<12f < \frac{1}{2}f<21​, we derive a asymptotic expression for the average entanglement entropy up to constant order in the system volume VVV. In addition to the expected leading volume law term, we prove the existence of a 12log⁡V\frac{1}{2}\log V21​logV finite-size correction resulting from the scaling of the Clebsch-Gordon coefficients and compute explicitly the O(1)O(1)O(1) contribution reflecting angular-momentum coupling within magnetization blocks. Our analysis uses features of random matrix ensembles and provides a fully analytical treatment for arbitrary spin densities, thereby extending Page type results to non-Abelian sectors and clarifying how SU(2)\mathrm{SU}(2)SU(2) symmetry shapes average entanglement.
The extreme-value statistics of the entanglement spectrum in disordered spin chains possessing a many-body localization transition is examined. It is expected that eigenstates in the metallic or ergodic phase, behave as random states and hence the eigenvalues of the reduced density matrix, commonly referred to as the entanglement spectrum, are expected to follow the eigenvalue statistics of a trace normalized Wishart ensemble. In particular, the density of eigenvalues is supposed to follow the universal Marchenko-Pastur distribution. We find deviations in the tails both for the disordered XXZ with total SzS_zSz​ conserved in the half-filled sector as well as in a model that breaks this conservation. A sensitive measure of deviations is provided by the largest eigenvalue, which in the case of the Wishart ensemble after appropriate shift and scaling follows the universal Tracy-Widom distribution. We show that for the models considered, in the metallic phase, the largest eigenvalue of the reduced density matrix of eigenvector, instead follows the generalized extreme-value statistics bordering on the Fisher-Tipett-Gumbel distribution indicating that the correlations between eigenvalues are much weaker compared to the Wishart ensemble. We show by means of distributions conditional on the high entropy and normalized participation ratio of eigenstates that the conditional entanglement spectrum still follows generalized extreme value distribution. In the deeply localized phase we find heavy tailed distributions and Lévy stable laws in an appropriately scaled function of the largest and second largest eigenvalues. The scaling is motivated by a recently developed perturbation theory of weakly coupled chaotic systems.
For any graph consisting of k vertices and m edges we construct an ensemble of random pure quantum states which describe a system composed of 2 m subsystems. Each edge of the graph represents a bipartite, maximally entangled state. Each vertex represents a random unitary matrix generated according to the Haar measure, which describes the coupling between subsystems. Dividing all subsystems into two parts, one may study entanglement with respect to this partition. A general technique to derive an expression for the average entanglement entropy of random pure states associated with a given graph is presented. Our technique relies on Weingarten calculus and flow problems. We analyze the statistical properties of spectra of such random density matrices and show for which cases they are described by the free Poissonian (Marchenko–Pastur) distribution. We derive a discrete family of generalized, Fuss–Catalan distributions and explicitly construct graphs which lead to ensembles of random states characterized by these novel distributions of eigenvalues.
We analyze the properties of entangled random pure states of a quantum system partitioned into two smaller subsystems of dimensions N and M. Framing the problem in terms of random matrices with a fixed-trace constraint, we establish, for arbitrary N≤M, a general relation between the n-point densities and the cross moments of the eigenvalues of the reduced density matrix, i.e., the so-called Schmidt eigenvalues, and the analogous functionals of the eigenvalues of the Wishart-Laguerre ensemble of the random matrix theory. This allows us to derive explicit expressions for two-level densities, and also an exact expression for the variance of von Neumann entropy at finite N,M. Then, we focus on the moments E{K^{a}} of the Schmidt number K, the reciprocal of the purity. This is a random variable supported on [1,N], which quantifies the number of degrees of freedom effectively contributing to the entanglement. We derive a wealth of analytical results for E{K^{a}} for N=2 and 3 and arbitrary M, and also for square N=M systems by spotting for the latter a connection with the probability P(x_{min}^{GUE}≥sqrt[2N]ξ) that the smallest eigenvalue x_{min}^{GUE} of an N×N matrix belonging to the Gaussian unitary ensemble is larger than sqrt[2N]ξ. As a by-product, we present an exact asymptotic expansion for P(x_{min}^{GUE}≥sqrt[2N]ξ) for finite N as ξ→∞. Our results are corroborated by numerical simulations whenever possible, with excellent agreement.