4.7 Article

Real-space entanglement of quantum fields

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PHYSICAL REVIEW D
卷 104, 期 8, 页码 -

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AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.104.085012

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This study introduces a new method for analytically determining the entanglement entropy between configurations of a quantum field at two distinct spatial locations, utilizing a bipartite, continuous Gaussian system. The method allows for deriving explicit formulas solely in terms of the Fourier-space power spectra of the field. This contrasts with previous studies relying on numerical considerations and leads to the first analytical derivation of results such as the decay of mutual information at large distances.
We introduce a new method permitting the analytical determination of entanglement entropy (and related quantities) between configurations of a quantum field, which is either free or in interaction with a classical source, at two distinct spatial locations. We show how such a setup can be described by a bipartite, continuous Gaussian system. This allows us to derive explicit and exact formulas for the entanglement entropy, the mutual information and the quantum discord, solely in terms of the Fourier-space power spectra of the field. This contrasts with previous studies, which mostly rely on numerical considerations. As an illustration, we apply our formalism to massless fields in flat space, where exact expressions are derived that only involve the ratio between the size of the regions over which the field is coarse-grained, and the distance between these regions. In particular, we recover the well-known fact that mutual information decays as the fourth power of this ratio at large distances, as previously observed in numerical works. Our method leads to the first analytical derivation of this result, and to an exact formula that also applies to arbitrary distances. Finally, we determine the quantum discord and find that it identically vanishes (unless coarse-graining is performed over smeared spheres, in which case it obeys the same suppression at large distance as mutual information).

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