The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Asymptotic Error Rates in Quantum Hypothesis Testing
Open accessAbstract
We consider the problem of discriminating between two different states of a finite quantum system in the setting of large numbers of copies, and find a closed form expression for the asymptotic exponential rate at which the error probability tends to zero. This leads to the identification of the quantum generalisation of the classical Chernoff distance, which is the corresponding quantity in classical symmetric hypothesis testing. The proof relies on two new techniques introduced by the authors, which are also well suited to tackle the corresponding problem in asymmetric hypothesis testing, yielding the quantum generalisation of the classical Hoeffding bound. This has been done by Hayashi and Nagaoka for the special case where the states have full support. The goal of this paper is to present the proofs of these results in a unified way and in full generality, allowing hypothesis states with different supports. From the quantum Hoeffding bound, we then easily derive quantum Stein’s Lemma and quantum Sanov’s theorem. We give an in-depth treatment of the properties of the quantum Chernoff distance, and argue that it is a natural distance measure on the set of density operators, with a clear operational meaning.
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
Vaart, A. W. V. D. (1998) · doi:10.1017/cbo9780511802256 · Cited by 4,159
The ‘transition probability’ in the state space of a—algebra
Uhlmann, A. (1976) · Reports on Mathematical Physics · doi:10.1016/0034-4877(76)90060-4 · Cited by 1,649
Cited by
Quantum Weiss–Weinstein bounds for quantum metrology
Lu, X.-M., & Tsang, M. (2016) · Quantum Science and Technology · doi:10.1088/2058-9565/1/1/015002 · Cited by 31
Metadata
- Authors
- Audenaert, K. M. R., Nussbaum, M., Szkoła, A., & Verstraete, F.
- Venue
- Communications in Mathematical Physics
- Published
- 2008-02-08
- Volume
- 279
- Issue
- 1
- Pages
- 251-283
- ISSN
- 0010-3616 (ISSN-L)
- 1432-0916
- OpenAlex
- W1996053641
- Cited by
- 274
- References
- 2
- FWCI
- 15.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Asymptotic Error Rates in Quantum Hypothesis Testing. https://app.cochat.ai/papers/10.1007/s00220-008-0417-5
- The paper
- Audenaert, K. M. R., Nussbaum, M., Szkoła, A., & Verstraete, F. (2008). Asymptotic Error Rates in Quantum Hypothesis Testing. Communications in Mathematical Physics. https://doi.org/10.1007/s00220-008-0417-5
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.