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.
Correctness and access cost of sparse block encoding
Statement
For a -row-sparse Hermitian , put and supply a certified bound . In the supplied-permutation mode, if then and the returned has zero all-zero-flag compression and normalization ; if , the designated all-zero auxiliary compression of from Sparse Hermitian block encoding is . One such block-encoding call uses one supplied inverse row-location permutation, one supplied column-location permutation, two entry-value queries (compute and uncompute), and the declared , inverse, flag-rotation, and arithmetic implementations. In the optional sorted-XOR mode with , the encoded matrix is with normalization , and each encoding, actual adjoint or coherent controlled call costs original location calls and value calls. No constant-cost conversion from XOR locations to in-place permutations is asserted.
Facts & Assumptions
Given: One declared sparse-algorithm input mode. The supplied-permutation mode has a certified nonnegative bound , exact reversible location permutations and costed uniform preparation; when , it also has costed exact value and flag arithmetic. The optional sorted-XOR branch has its separately declared positive entry bound and sorted support interface; the algorithm's branch is common to both modes.
Sparse Hermitian block encoding: prepares the uniform row-neighbor state, the uniform column-neighbor state, and the supplied-permutation mode's flag-zero value amplitude is for its certified bound .
Qubitization access model: an all-zero compression is ; its normalization and access costs are separate.
Finite block encoding: a projected block of a supplied unitary is the encoded matrix divided by its declared normalization.
Sparse Hamiltonian row and value oracles: valid row/value access describes a Hermitian matrix and counts each named oracle call separately.
Dirac Notation Conversion: contributes the matrix entry in the stated basis convention.
Qubitization access model: an exact block encoding is a unitary dilation whose all-zero compression is the normalized target matrix.
Clean sparse-state preparation from sorted XOR locations constructs the optional sorted-XOR mode with clean workspace, normalization , and the stated ordinary, inverse and controlled query counts.
Proof
Given: As in Facts & Assumptions.
First consider the supplied-permutation mode. If , the promised bound implies every entry of is zero. The returned is unitary and its compression against the clean flag is , so normalization encodes . Now suppose . Each row and, by Hermiticity, each column has at most nonzero entries, each of magnitude at most . For any vector , Cauchy–Schwarz gives . Summing over and using the row and column bounds gives , so and the stated normalization is valid in [F3]. For each system label , , where is its listed column or a distinct sentinel. For each system label , ; the register SWAP sends this to , so the supplied action of gives . Each is normalized because its terms are orthonormal and have coefficient .
For , the two columns of the stated flag matrix have unit norm and inner product ; hence it is unitary and its flag-zero output amplitude from is . The value oracle is uncomputed after this rotation, so the good-flag overlap retains no value workspace.
With the root inner product linear in its first argument, the matrix entry of is , by the adjoint identity and the ordered-basis coordinate convention in [F5]. The row and column lists contain the pair once each exactly when , by Hermiticity and the nonzero-entry enumeration. In that case the unique matching basis pair contributes : the amplitude is first in the root pairing and equals , while the row-state amplitude is . If , there is no valid matching pair, and the sentinel branch has flag-zero amplitude . Thus every clean matrix entry is the stated one, proving the compressed block identity.
The displayed circuit for applies the inverse row-location permutation once through , the column-location permutation once through , and the entry-value oracle twice to compute and uncompute the value. Its state preparations, inverses, arithmetic, flag rotations, controlled operations, and gate synthesis are separate declared costs, so no additional sparse-access operation has been counted as free.
In the optional sorted-XOR mode, apply [F7] to the supplied sorted QA20 interface and positive entry bound . Its clean isometries insert only on the column side, give the padded block , and clear the extra location and value work exactly on the prepared input subspaces. Its actual inverses and coherent controls have the same logarithmic location-query order. The supplied-permutation proof and counts in steps 1.1–3.1 are unchanged.
Depends on
Used by
- Finite CKS sparse QLSP with variable-time inverse estimation Algorithm
- Two-bit parity path and sparse normalization Example
- CKS nearly-linear condition-number guarantee Theorem
- Qubitization query and gate resources Theorem
Cited to discharge well-definedness by Sparse Hermitian block encoding.
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
- András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe, Quantum singular value transformation and beyond, Lemma 48 and proof (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes, Chapter 9 §9.4, Example 2 (standard reference, not scraped)