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.
Exact binary QFT circuit
Definition
Input: an -qubit register with ordered wires , . The input integer is encoded by in the computational basis, as specified by Big-endian encoding of ordered bit strings.
Output: the following finite gate list, defining a unitary by the circuit semantics of Denotational semantics of a finite layered circuit on the ordered-register syntax of Finite circuit syntax and ordered wire labels, and using no ancillas.
- For , complete the following block before proceeding to the next : apply to target ; then, for in that order, apply to the pair , with as control and as target. Here is the ideal controlled phase defined in QFT ideal and finite-set gate-cost models.
- After completing every block in the descending loop, for , swap with .
The chronological order is exactly the order listed. If , all loops are empty and the output is the empty circuit, i.e. the identity on the one-dimensional register.
Depends on
- Positive-sign cyclic quantum Fourier transform
- QFT ideal and finite-set gate-cost models
- Binary factorization of QFT basis output
- Big-endian encoding of ordered bit strings
- Ordered tensor registers, their inner product, and wire permutations
- Finite circuit syntax and ordered wire labels
- Denotational semantics of a finite layered circuit
Used by
- Quantum phase estimation Algorithm
- Truncated binary QFT Algorithm
- QFT circuit order and truncation examples Example
- Exact binary QFT circuit correctness Theorem
- Exact binary QFT ideal gate count Theorem
- Kuperberg dihedral hidden-subgroup scope and resource claim Theorem
- Operator-norm error of QFT truncation Theorem
Dependency tree · two levels
29 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 (arXiv:1907.09415v6) (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (standard reference, not scraped)
- John Preskill, Quantum Information, Chapter 6: Quantum Algorithms (standard reference, not scraped)