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.
Quantum singular-value transformation circuit
Definition
Inputs. A finite-dimensional complex-inner-product space , a unitary , orthogonal projections , an integer , and an exact real phase list . The input access contract states separately whether , , controlled-, and controlled- are supplied and gives their individual costs. The scalar signal sequence is from QSP signal matrix and ordered phase sequence, with its admissible polynomial pair from Admissible polynomial pair for Hermitian-reflection QSP. A desired polynomial target is supplied with a certificate that realizes its scalar polynomial; generation of is a separate classical/circuit input.
Output. The procedure returns the finite unitary sequence below and uses its compression from to for odd , or from to itself for even . No measurement or state-preparation circuit is implicit in this block description.
Instructions. For , set the current side to and apply the projector phase . For , apply and switch the current side from to if it is ; otherwise apply and switch from to . Then apply . Thus there are alternating signal calls and projector-phase operations; has no signal call and consists only of the phase at .
For a real target polynomial, run the two phase lists and in coherent control branches, with the control initialized in , and take the -to- block. The procedure uses the reflected signal convention throughout. If a circuit is built through the alternative SU(2) convention, its control-dependent scalar phase must be retained as a relative phase. The exact block action, the real-part extraction, and the implementation costs are established in the separate theorem items on this page. Every phase list, inverse call, controlled call, phase rotation, and finite-gate compilation is supplied or charged separately.
Remarks
When the input is a bounded real target polynomial, its completion and phase-generation steps are supplied separately; finite bit-time and gate-synthesis bounds are not inferred from a bare phase list.
Depends on
- Projected-unitary encoding and singular vectors
- Odd and even singular-value transforms
- Admissible polynomial pair for Hermitian-reflection QSP
- Constructive factorization of an admissible QSP polynomial pair
- QSP signal matrix and ordered phase sequence
- Orthogonal-Projector Reflection and Access Contract
- Denotational semantics of a finite layered circuit
- Dirac Notation Conversion
- Projector Reflections Are Hermitian Unitary Involutions
- Controlled Unitary Access
- Inverse Unitary Access
Used by
- Finite CKS sparse QLSP with variable-time inverse estimation Algorithm
- QSVT implementation of a bounded matrix function Algorithm
- QSVT regularized pseudoinverse transformation Algorithm
- Qubitized Hamiltonian simulator Algorithm
- QSVT action on singular subspaces Theorem
- QSVT signal and reflection query counts Theorem
- Real bounded polynomial extraction in QSVT Theorem
Dependency tree · two levels
49 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
- András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe, Quantum singular value transformation and beyond, Definitions 15 and Lemma 19 (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms, Chapter 29 §29.3 (standard reference, not scraped)