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Operator perturbation bound for QSVT
Statement
Let be contractions between the same finite-dimensional complex-inner-product spaces, let be the scalar polynomial of an exact degree- QSVT phase sequence, and put . Then, for the corresponding odd or even singular-value transforms,
For the transform is constant on the relevant singular space and the difference is zero. The lemma is an operator statement; the unitary completions used in the proof are finite-dimensional existence constructions and do not supply an efficient implementation or any additional query access.
Facts & Assumptions
Given: Same-dimension contractions and an exact degree- QSVT phase sequence with scalar polynomial .
Projected-unitary encoding and singular vectors: a PUE compression has singular values in and its finite SVD uses orthonormal left and right bases.
Every linear map between finite-dimensional real or complex inner product spaces admits a singular value decomposition: every finite-dimensional map has complete orthonormal singular bases and a positive-term SVD formula.
QSVT action on singular subspaces: for any PUE realization of a contraction , the phase sequence's projected block is .
The operator norm is zero on the zero domain and otherwise is max_{||v||=1} ||Tv||: the operator norm is the maximum action on unit vectors, and the zero-domain norm is zero.
The inner-product norm is definite, homogeneous, and satisfies the triangle inequality: the vector norm satisfies the triangle inequality.
The orthogonal projection is the -component in : range and orthogonal-complement components give the orthogonal decomposition defining a projection.
Pythagoras and finite orthogonal sums: orthogonal components have squared norms that add.
Adjoints satisfy , , , and : adjoints reverse composition and .
Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces: a unitary preserves vector norms.
Proof
If either or is zero, both maps are zero and the odd transforms agree; when the even right transforms are also the same scalar map on the zero space, and when the even right transforms are for both. The inequality is then immediate. Assume both dimensions are positive. Let , , , and extend an SVD of any contraction to orthonormal bases and , with for any missing singular values up to .
On , choose orthonormal input bases in the first summand and in the second, and output bases and in the two summands. For , define and . These two images are orthonormal by direct expansion; map any remaining to the corresponding unused , and any remaining to the corresponding unused . The resulting images form an orthonormal basis, so is unitary. If projects onto the second summand and onto the first, then by the SVD formula. Thus every finite contraction has a PUE unitary completion with fixed subspaces of dimensions .
Let and set . Homogeneity of the operator norm gives , so is a contraction. By step 1.2, choose unitary completions of on the same with the same projectors . On , let and let select the right and left subspaces, respectively, in the first copy only. Put , , and ; makes unitary. For in the first-copy right subspace, , maps this to , and returns first component . Projection to the first-copy left subspace therefore gives . Since and are unitary, [F8]–[F9] show is unitary; it is a PUE completion of for the same projectors.
Direct multiplication gives , hence . With , the inequality follows from , so . For every unit , write . By [F10], and preserve norms; the two summands therefore have norms at most . Using [F5] and [F4] gives .
The exact QSVT phase product contains signal factors, each either or ; its remaining phase factors are identical for and . Telescoping the two products one signal factor at a time gives operator-norm difference at most : the factor differences for have that norm, and for the identity plus [F10]–[F11] gives the same norm; multiplying by unchanged unitary factors preserves the bound. Compression by orthogonal projections cannot increase the bound, since projections are contractions by [F6]–[F7]. By [F3], the compressed blocks are and . Steps 2.1 and 3.1 therefore give .
For the second comparison, use step 1.2 to choose completions of and the zero map on the same , and put . With the same projectors and the same from step 2.1, compresses to , while compresses to . The calculation of step 3.1 gives ; the telescoping and compression argument of step 4.1 therefore gives . Combining this with step 4.1 by the triangle inequality proves the asserted bound. If the two transforms are identical, and if the transform is independent of the input; both cases satisfy the same bound.
Depends on
- Projected-unitary encoding and singular vectors
- Odd and even singular-value transforms
- Singular-value transform is independent of SVD choices
- QSVT action on singular subspaces
- Every linear map between finite-dimensional real or complex inner product spaces admits a singular value decomposition
- Dirac Notation Conversion
- The operator norm is zero on the zero domain and otherwise is max_{||v||=1} ||Tv||
- The inner-product norm is definite, homogeneous, and satisfies the triangle inequality
- The operator norm is submultiplicative and satisfies ||T^*T|| = ||T||^2
- The orthogonal projection $P_Wv$ is the $W$-component in $V=W\oplus W^\perp$
- Pythagoras and finite orthogonal sums
- Adjoints satisfy $(S+T)^*=S^*+T^*$, $(\lambda T)^*=\overline\lambda T^*$, $(ST)^*=T^*S^*$, and $T^{**}=T$
- The adjoint $T^*:W\to V$ is characterised by $\langle Tv,w\rangle_W=\langle v,T^*w\rangle_V$
- Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces
Used by
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Sources
- András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe, Quantum singular value transformation and beyond, Lemma 22 (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms, Chapter 29 §29.3 (standard reference, not scraped)