
Linking momentum to LRE offers a scalable diagnostic for quantum materials, accelerating the design of devices that rely on robust entanglement.
The discovery that momentum can serve as a proxy for long‑range entanglement reshapes how physicists approach quantum many‑body problems. Traditional entanglement diagnostics often require constructing explicit quantum circuits or mapping to translationally symmetric states—tasks that become intractable for disordered or quasi‑periodic materials. By focusing on the many‑body momentum distribution and the translation operator’s expectation value, the authors provide a measurable quantity that scales with system size and directly reflects delocalization, offering a clear experimental handle for researchers studying one‑dimensional lattices.
In practical terms, the study’s validation on two contrasting lattice models underscores its versatility. The deterministic random‑dimer model, despite lacking a well‑defined continuum limit, still exhibits the predicted |⟨T⟩| behavior, while the Aubry‑André model confirms the approach in a setting with commensurate hopping. These benchmarks demonstrate that the momentum‑space criterion can reliably differentiate between localized and delocalized phases, effectively mapping entanglement landscapes without resorting to complex state reconstruction. For experimental platforms such as cold‑atom chains or superconducting qubit arrays, measuring total momentum spread becomes a feasible route to assess quantum correlations.
Looking ahead, extending this framework beyond one dimension could unlock new insights into topologically ordered phases and higher‑dimensional quantum materials. While the current proof‑of‑concept is limited to 1D, the underlying principle—that a conserved quantity like momentum encodes entanglement structure—suggests broader applicability. Future research may integrate this momentum‑based metric with tensor‑network simulations or explore its compatibility with emerging quantum error‑correction schemes, potentially guiding the engineering of robust, entanglement‑rich devices for quantum computing and sensing.
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