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.
Uniform verifier interface with a quantum witness
Definition
For an input length , let be the ordered classical-input register, a witness register, and a zero-initialized workspace register; are polynomially bounded and zero qubits means the one-dimensional space . A verifier family is one full-list uniform family of finite circuits on , generated in polynomial time from . The widths and must also be computed from by one fixed polynomial-time algorithm. Equivalently, a fixed polynomial-time wrapper outputs the widths together with the full circuit description, whose circuit component is a valid full-list code; the register metadata does not alter that code or its measured wire indices. Its gate order and unitary denotation are those of Full-list uniform quantum circuit family, Finite circuit syntax and ordered wire labels, and Denotational semantics of a finite layered circuit. The first register holds the classical basis input , the witness may be any density operator on , and the workspace qubits start in . Thus this definition adds an explicit quantum witness register to the classical-input, zero-ancilla promise-computation convention of Finite quantum promise-computation model; a witness is not an initialized ancilla. The workspace need not return to zero; the exact clean-return subroutine contract of Clean and dirty ancillas is a separate requirement when invoked.
Let be the ordered tuple of distinct terminally measured wires. One fixed total polynomial-time algorithm evaluates the predicate and determines acceptance from the measured output string . Let be , and let be the orthogonal projection onto all computational-basis output strings accepted by , tensored with the identity on every unmeasured wire. Define the witness acceptance effect and its probability by
The projection sums over every unmeasured output wire. The positivity of this compression and its equality with the terminal outcome law are proved separately. The matrix input, gate list, generator, output predicate, and all circuit and classical costs are charged according to Circuit-family and computation cost model; no intermediate measurement or free random source is assumed in this base interface.
Depends on
- Promise problem
- Full-list uniform quantum circuit family
- Finite quantum promise-computation model
- Circuit-family and computation cost model
- Finite circuit syntax and ordered wire labels
- Denotational semantics of a finite layered circuit
- Clean and dirty ancillas
- Finite registers and their ordered computational bases
- Ordered tensor registers, their inner product, and wire permutations
- Density operator
- Finite POVMs and their outcome law
- Partial trace over a finite tensor factor
Used by
Dependency tree · two levels
42 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, Quantum Computational Complexity (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes (standard reference, not scraped)