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arXiv:2112.02253 · Physical Review A

Unveiling topological order through multipartite entanglement

Siddhartha Patra, Somnath Basu, Siddhartha Lal

Published May 19, 2022• 3 citations
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Abstract

It is well known that the topological entanglement entropy (${S}_{\mathrm{topo}}$) of a topologically ordered ground state in two spatial dimensions can be captured efficiently by measuring the tripartite quantum information (${I}^{3}$) of a specific annular arrangement of three subsystems. However, the nature of the general $N$-partite information (${I}^{N}$) and correlation of a topologically ordered ground state remains unknown. In this work, we study such ${I}^{N}$ measure and its nontrivial dependence on the arrangement of $N$ subsystems. For the collection of subsystems (CSS) forming a closed annular structure, the ${I}^{N}$ measure ($N\ensuremath{\ge}3$) is a topological invariant equal to the product of ${S}_{\mathrm{topo}}$ and the Euler characteristic of the CSS embedded on a planar manifold, $|{I}^{N}|=\ensuremath{\chi}{S}_{\mathrm{topo}}$. Importantly, we establish that ${I}^{N}$ is robust against several deformations of the annular CSS, such as the addition of holes within individual subsystems and handles between nearest-neighbor subsystems. While the addition of a handle between further neighbor subsystems causes ${I}^{N}$ to vanish, the multipartite information measures of the two smaller annular CSS emergent from this deformation again yield the same topological invariant. For a general CSS with multiple holes (${n}_{h}>1$), we find that the sum of the distinct, multipartite information measured on the annular CSS around those holes is given by the product of ${S}_{\mathrm{topo}}, \ensuremath{\chi}$ and ${n}_{h}, {\ensuremath{\sum}}_{{\ensuremath{\mu}}_{i}=1}^{{n}_{h}}|{I}_{{\ensuremath{\mu}}_{i}}^{{N}_{{\ensuremath{\mu}}_{i}}}|={n}_{h}\ensuremath{\chi}{S}_{\mathrm{topo}}$. This constrains the concomitant measurement of several multipartite information on any complicated CSS. The $N\text{th}$ order irreducible correlations for an annular CSS of $N$ subsystems is also found to be bounded from above by $|{I}^{N}|$, which shows the presence of correlations among subsystems arranged in the form of closed loops of all sizes. Thus, our results offer important insight into the nature of the many-particle entanglement and correlations within a topologically ordered state of matter.

DOI
10.1103/physreva.105.052428

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The multipartite entanglement structure for the ground states of two-dimensional (2D) topological phases is an interesting albeit not well-understood question. Utilizing the bulk-boundary correspondence, the calculation of tripartite entanglement in 2D topological phases can be reduced to that of the vertex state, defined by the boundary conditions at the interfaces between spatial regions. In this paper, we use the conformal interface technique to calculate entanglement measures in the vertex state, which include area-law terms, corner contributions, and topological pieces, and a possible additional order-one contribution. This explains our previous observation of the Markov gap h=c3ln2h=\frac{c}{3}ln2h=3c​ln2 in the three-vertex state, and generalizes this result to the ppp-vertex state, general rational conformal field theories, and more choices of subsystems. Finally, we support our prediction by numerical evidence, finding precise agreement.
Topological entanglement entropy, which is defined as the conditional mutual information of a state for an annular region in a topologically ordered system, is widely used to detect characteristic topological correlations in topologically ordered phases. We investigate an information-theoretical meaning of the topological entanglement entropy by analyzing a multi-partite correlation measure called irreducible correlation. We prove that the topological entanglement entropy is equivalent to the irreducible correlation if the state has zero-correlation length. We further show that for zero-correlation length states the irreducible correlation is equal to the maximum communication rate of a particular class of secret sharing protocols. Therefore, we provide an operational interpretation of the topological entanglement entropy.
We study genuine multi-entropy as a diagnostic of multipartite entanglement in the toric code, which provides a controlled setting for probing multipartite structures in topologically ordered states. Our main question is whether genuine multi-entropy captures information that is not reducible to conventional lower-party entropic data, such as topological entanglement entropy. We first analyze toric-code ground states that admit a stabilizer-state description, where the relevant quantities can be evaluated exactly. We conjecture that, for stabilizer states and q≥4\mathtt{q}\ge4q≥4, the q\mathtt{q}q-partite genuine multi-entropy at replica index n<qn<\mathtt{q}n<q collapses to a linear combination of multi-entropies involving at most q−2\mathtt{q}-2q−2 parties. We establish this pattern explicitly for q=4\mathtt{q}=4q=4 in the toric code stabilizer sector: for n=2,3n=2,3n=2,3, the genuine multi-entropy is proportional to the tripartite information I3I_3I3​ and, for the Kitaev-Preskill partition, contains no independent genuine four-partite information beyond that captured by the topological entanglement entropy. At n=4n=4n=4, however, this reduction breaks down: the genuine multi-entropy is no longer proportional to I3I_3I3​, but remains a topological invariant of the toric-code stabilizer ground states under Kitaev-Preskill-preserving deformations that do not change whether the numbers of vertex- and plaquette-type junctions coincide. For generic non-stabilizer superpositions within the ground-state manifold and for coherent superpositions of local excitations, the low-nnn reduction also fails. These results show that genuine multi-entropy probes multipartite entanglement structure beyond the tripartite information, and hence beyond the topological entanglement entropy in the Kitaev-Preskill partition, whereas for stabilizer states at low replica index it reduces to lower-partite entropic data.
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