Cited by 793Quantum Mechanics and ApplicationsQuantum Information and CryptographyQuantum Computing Algorithms and Architecture

Statistical distance and Hilbert space

Wootters, W. K.·1981·Physical Review D

Abstract

A concept of "statistical distance" is defined between different preparations of the same quantum system, or in other words, between different rays in the same Hilbert space. Statistical distance is determined entirely by the size of statistical fluctuations occurring in measurements designed to distinguish one state from another. It is not related, a priori, to the usual distance (or angle) between rays. One finds, however, that these two kinds of distance are in fact the same, a result which depends on certain peculiarities of quantum mechanics.

Integrity signals

Registry

Crossref · 10.1103/physrevd.23.357

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • For pure states, the angle between initial and final states is the arccosine of the absolute overlap.

    “for pure states the angle is simply given by [61] L (|ψ 0 , |ψ τ ) = arccos (| ψ 0 |ψ τ |), (23”
  • Wootters concluded that the shortest path connecting vectors in Hilbert space is identical to the geodesic under the Fisher-Rao metric.

    “As a main conclusion Wootters showed that the shortest path connecting vectors in Hilbert space, i.e. the angle between these vectors, is identical to the geodesic under the Fisher-Rao metric.”
  • All three approaches to survival probability have the common lower bound (2).

    “All three approaches, therefore, have the common lower bound (2).”

    From Kind of entanglement that speeds up quantum evolution (2012) · cites this paper as [19]

  • The quantum Fisher information satisfies F(ρ,H) ≤ 4(∆H)^2_ρ/ħ^2, with equality if ρ is pure.

    “Note that F ( ρ, H ) can be further estimated as F ( ρ, H ) ≤ 4 (∆ H ) 2 ρ / ℏ 2 [12, 19]. The equality holds if ρ is pure.”

    From Kind of entanglement that speeds up quantum evolution (2012) · cites this paper as [19]

  • Wootters' statistical distance is the only Riemannian metric, up to a constant factor, that is invariant under all unitary transformations.

    “Wootters' statistical distance is the only Riemannian metric, up to a constant factor, which is invariant under all unitary transformations.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wootters, W. K.
Affiliations
The University of Texas at Austin (US)
Corresponding author
Wootters, W. K.
Venue
Physical Review D
Published
1981-01-15
Volume
23
Issue
2
Pages
357-362
ISSN
0556-2821 (ISSN-L)
OpenAlex
W1964348979
Cited by
793
References
5
Citations by year
2026: 24 · 2025: 28 · 2024: 35 · 2023: 37 · 2022: 34 · 2021: 45 · 2020: 49 · 2019: 29 · 2018: 45 · 2017: 40 · 2016: 34 · 2015: 30 · 2014: 40 · 2013: 30 · 2012: 29
FWCI
1.15
Type
journal article
Language
en
Open access
closed
Locations
Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (publishedVersion)
Topics
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
Keywords
statistical distance, Hilbert spaces, quantum state discrimination, statistical fluctuations, quantum measurement, quantum state distinguishability

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