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.
Finite hybrid budget for a four-address search space
Example
Take and . There is a two-query all-zero-oracle circuit whose first pre-query address state is uniform on four addresses and whose second pre-query address state is the fourth basis vector. It has at each query time. Its cumulative hybrid estimates give squared-distance sum at most , hence average at most , while the general aggregate theorem permits at most , hence average at most .
Facts & Assumptions
Given: The four-dimensional address register, its query projectors, and the cumulative hybrid estimate.
The computational basis is orthonormal: the four computational address vectors are an orthonormal basis.
Dirac Notation Conversion: in the root inner-product convention.
Query-register projectors and mismatch indicators: the address projectors are orthogonal and their squared norms sum to the squared norm of the full state.
Cumulative hybrid distance for a T-query algorithm: each final-state distance is at most when .
A unit-vector outer product is a density operator: for a unit vector , is self-adjoint and idempotent.
Proof
Let be the first query's address state, with any fixed unit response and work state. By [F1], and each address probability is . Hence .
Put and . By [F1], , so . The map is an orthogonal projection by [F5], and satisfies . By [F2], , so . Use this input-independent reflection between the first and second queries. The all-zero oracle is identity, so the second pre-query address state is ; thus , , and .
Apply [F4]. For , ; for , . Therefore the sum of squared bounds is at most , and the average squared distance is at most . The general bound gives total at most and average at most , so the explicit address allocation is consistent with that budget.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
25 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
- Charles H. Bennett, Ethan Bernstein, Gilles Brassard, and Umesh Vazirani, Strengths and Weaknesses of Quantum Computing (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (2025) (standard reference, not scraped)