The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Magnetic susceptibility as a macroscopic entanglement witness
Open accessAbstract
We show that magnetic susceptibility can reveal spin entanglement between individual constituents of a solid, while magnetization describes their local properties. We then show that magnetization and its variance (equivalent to magnetic susceptibility for a wide class of systems) satisfy complementary relation in the quantum-mechanical sense. It describes sharing of (quantum) information in the solid between spin entanglement and local properties of its individual constituents. Magnetic susceptibility is shown to be a macroscopic (thermodynamical) spin entanglement witness that can be applied without complete knowledge of the specific model (Hamiltonian) of the solid.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Optimization of entanglement witnesses
Lewenstein, M., Kraus, B., Cirac, J. I., & Horodecki, P. (2000) · Physical Review A · doi:10.1103/physreva.62.052310 · Cited by 684
Cited by
Horodecki, R., Horodecki, P., Horodecki, M., & Horodecki, K. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.865 · Cited by 10,118
Entanglement in many-body systems
Amico, L., Fazio, R., Osterloh, A., & Vedral, V. (2008) · Reviews of Modern Physics · doi:10.1103/revmodphys.80.517 · Cited by 3,745
Self-citationGühne, O., & Tóth, G. (2009) · Physics Reports · doi:10.1016/j.physrep.2009.02.004 · Cited by 2,401
Multipartite entanglement and high-precision metrology
Tóth, G. (2012) · Physical Review A · doi:10.1103/physreva.85.022322 · Cited by 560
Experimental indications of non-classical brain functions
Kerskens, C. M., & López Pérez, D. (2022) · Journal of Physics Communications · doi:10.1088/2399-6528/ac94be · Cited by 88
Metadata
- Authors
- Wieśniak, M., Vedral, V., & Brukner, Č.
- Venue
- New Journal of Physics
- Publisher
- IOP Publishing
- Published
- 2005-12-29
- Volume
- 7
- Pages
- 258-258
- ISSN
- 1367-2630 (ISSN-L)
- OpenAlex
- W2028595014
- Cited by
- 190
- References
- 1
- FWCI
- 5.74
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Magnetic susceptibility as a macroscopic entanglement witness. https://app.cochat.ai/papers/10.1088/1367-2630/7/1/258
- The paper
- Wieśniak, M., Vedral, V., & Brukner, Č. (2005). Magnetic susceptibility as a macroscopic entanglement witness. New Journal of Physics. https://doi.org/10.1088/1367-2630/7/1/258
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.