How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Optimal Cloning Worst Case Upper Bound
Statement
Assume the choice branch in Symmetric Subspace Dimension And Haar Moment. Let and . Every channel has
Facts & Assumptions
Given: , , a channel , and the normalized unitary-invariant measure in the stated choice branch.
The Haar moment is (Symmetric Subspace Dimension And Haar Moment, The Axiom of Choice).
For a state and a pure projector , the squared root fidelity is ; this follows from the definition and the one-nonzero-singular-value formula (Fidelity, Every linear map between finite-dimensional real or complex inner product spaces admits a singular value decomposition).
A channel is completely positive and trace-preserving on the full operator space; it has a finite Kraus representation with (Finite-dimensional quantum channel, Kraus and Choi characterizations of complete positivity, Trace preservation is Kraus normalization).
For , is the orthogonal projector onto the symmetric subspace; it and are nonnegative (Symmetric Subspace Projector, The permutation average is the symmetric-subspace projector).
If are nonnegative, then by cyclicity and positivity (For and , , A non-negative operator has a unique non-negative square root).
Cauchy–Schwarz gives (Cauchy–Schwarz: , with equality exactly for dependent pairs). Rank-one operators act by (Dirac Notation Conversion).
Proof
Choose a finite Kraus family from [L3], and write and . For each unit , put , , and . By [L2], this is the squared root fidelity in the Statement. Since is a unit symmetric tensor, by [F1]. The Kraus formula, the rank-one convention, and Cauchy–Schwarz [F3] give , where is self-adjoint and nonnegative: each quadratic form is .
Integrating this pointwise bound and applying the -th Haar moment [L1] yields . Since and are nonnegative by step 1.1 and [F1], [F2] gives , hence . Trace cyclicity [F2], normalization [L3], and [L1] give . Therefore . The function is continuous in the finite coordinates of , hence measurable; because is a probability measure, its infimum is no larger than its average. Thus , including and .
Depends on
- Symmetric Subspace Projector
- Symmetric Subspace Dimension And Haar Moment
- Finite-dimensional quantum channel
- Fidelity
- The Axiom of Choice
- The permutation average is the symmetric-subspace projector
- Every linear map between finite-dimensional real or complex inner product spaces admits a singular value decomposition
- A non-negative operator has a unique non-negative square root
- For $A\in M_{m\times n}(F)$ and $B\in M_{n\times m}(F)$, $\operatorname{tr}(AB)=\operatorname{tr}(BA)$
- Kraus and Choi characterizations of complete positivity
- Trace preservation is Kraus normalization
- Cauchy–Schwarz: $|\langle x,y\rangle|\le\|x\|\,\|y\|$, with equality exactly for dependent pairs
- Dirac Notation Conversion
Used by
Dependency tree · two levels
58 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John Watrous, The Theory of Quantum Information (standard reference, not scraped)