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.
ZQP on promise problems with bounded failure
Definition
In this page, denotes the following bounded-failure zero-error promise class. A promise problem belongs to if there are a full-list uniform QC14 family , a polynomial-time total label decoder , and the finite output law of Finite quantum promise-computation model, Full-list uniform quantum circuit family, and Quantum acceptance probability for a finite promise computation, such that for every the probability of is at least and the probability of is zero, while for every the probability of is at least and the probability of is zero. All output strings receive one of the three labels, so the remaining probability is the allowed failure label ; the output law is normalized by The partial-output acceptance law is a finite probability law. No promise condition is imposed off .
This explicit fixed-circuit, bounded-failure convention is sufficient for the containments proved on this page. No equivalence with an expected-time quantum zero-error model or with is asserted.
Depends on
- Promise problem
- Finite quantum promise-computation model
- Full-list uniform quantum circuit family
- Quantum acceptance probability for a finite promise computation
- Circuit-family and computation cost model
- Clifford+T gate library and exact matrices
- The partial-output acceptance law is a finite probability law
Used by
Dependency tree · two levels
38 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
- Ronald de Wolf, Quantum Computing: Lecture Notes, Chapter 13, Section 13.2 (standard reference, not scraped)
- John Watrous, Quantum Computational Complexity, Section IV.1 (standard reference, not scraped)