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.
HHL finite sine-window phase-estimation algorithm
Definition
Input a self-adjoint with , a unit input state supported only on eigenvalues satisfying , and a supplied finite exact representation of the cutoff that supports certified arithmetic and rational comparisons. Supply costed and controlled/inverse simulation access as in HHL state-preparation and simulation access model. The accuracy and failure inputs are exact rational values and , with positive binary-encoded integers and , . Rectangular systems use Hermitian dilation for a rectangular linear system: choose a supplied rational scale , use , and set from the QLSP support gap . The QLSP definition supplies whenever the left singular coefficient of is nonzero; the dilation eigenvalues on this input support are , so . On prepare the normalized codomain-supported input with the tagged preparation . Implement its block with the supplied tag-controlled form of and charge that controlled preparation cost. The QLSP promise removes the kernel component, and the output is tagged in the domain summand. All parameter comparisons, reversible arithmetic and finite-precision synthesis use the separately charged routines in the access model. The algorithm is the finite OP5 program:
-
Apply the supplied (or for a rectangular system) to prepare the input and its fixed work state, set , choose the least power of two by certified comparisons, and let . Initialize the phase register to in big-endian order . This carrier chooses OP5's explicit table variant for preparing Finite sine-window phase state. Build the complete binary prefix tree on the leaves. At each level and for each interval node at that level, put and compute the child masses and from the formula in Sine-window normalization and positive prefix weights. Store and apply to wire , controlled on the preceding wires matching the path to ; encode bit as the left child and bit as the right child. The root has no controls. Thus the ideal circuit prepares by Operator error for the finite sine-prefix rotation table. Put . Each nonempty mass is at least by Sine-window normalization and positive prefix weights. Use certified interval arithmetic with absolute mass error at most ; refine until each stored angle and its finite gate synthesis together give controlled-rotation operator error at most . The cases and use the identity and rotations, respectively. Store each other angle with at least bits. There are rotations; Operator error for the finite sine-prefix rotation table bounds their total operator error by from the displayed combined per-node operator tolerance. The table contains bits and controlled rotations. Charge its one-time construction/data cost and each forward/inverse preparation cost from HHL state-preparation and simulation access model, including reversible lookup, control and finite gate synthesis. Thus the sine-preparation unitary and its inverse each have operator error at most ; this variant pays linear-in- table and rotation resources rather than assuming a loaded amplitude table.
-
In either the original full-space or alternative clean-workspace simulation mode, initialize all simulator work in zero and retain it coherently. For , set and allocate to both its forward controlled call and its reverse call. Apply to the system controlled on wire being , and act as identity on its branch. In the declared order , a phase label has bits with , so the ideal controlled list applies . Apply the negative-sign QFT, decode to signed for and otherwise, and set . The total forward evolution time is , and the sum of the simulation error allocations is . This uses the signed convention in Signed phase decoding has no alias on the promised spectrum.
-
Reversibly compute the flag angles and sign from using Odd-well and even-ill reciprocal filter. Use the two-qubit computational basis with labels , , , and unused label . Write , , , and . These are defined at every decoded grid point because The reciprocal filter defines valid three-outcome amplitudes gives , , and , so . First apply to conditioned on , acting as identity on the subspace. Next apply to conditioned on , acting as identity on the subspace. Here with the exact convention and unitary formula of Exact one-qubit gates and rotations and Pauli formula for an axis rotation. Finally apply in the ordered flag basis, where if and otherwise (in particular at zero, where ). The resulting full flag unitary is : the two conditional rotations act as on the indicated two-label subspaces and as identity on their orthogonal complements, and is diagonal unitary. All three factors fix the unused label . On the product gives , since and . Uncompute the arithmetic. Synthesize the phase-controlled map with uniform operator error at most , charged through and .
-
Reverse the QFT, every actual controlled simulation circuit, and sine preparation, retaining the flag and all simulator work. In clean-workspace mode the ideal trajectory has this work in zero; Unitary hybrids on a preserved clean-work subspace bounds the complete attempt on that ideal trajectory without assuming actual intermediate work is clean. This gives a unitary flagged preparation and its exact circuit inverse . Let be the well-flag projection in Hermitian mode and the product of the well-flag projection and tagged domain projection in rectangular mode; these two projections act on distinct registers and commute. Let . Apply the finite capped amplification procedure proved in Finite capped amplification succeeds with a supplied lower bound with success projection , lower bound and failure target . Its success reflection and verification test both the well flag and the domain tag in rectangular mode; charge their actual costs to and . Measure and return the conditional state, tagged output and success bit on success; return FAIL otherwise.
The circuit uses no uniform-register phase-tail estimate: its phase distribution is the sine-window kernel proved in Second moment of the signed sine-window phase kernel. Its , reflection, verification and costs remain separate inputs.
Depends on
- Quantum linear-systems state-output task
- The QLSP target is nonzero
- Hermitian dilation for a rectangular linear system
- HHL state-preparation and simulation access model
- Signed phase decoding has no alias on the promised spectrum
- Odd-well and even-ill reciprocal filter
- The reciprocal filter defines valid three-outcome amplitudes
- Finite sine-window phase state
- Sine-window normalization and positive prefix weights
- Operator error for the finite sine-prefix rotation table
- Quantum phase estimation
- Exact binary QFT circuit correctness
- Controlled Unitary Access
- Inverse Unitary Access
- Dirac Notation Conversion
- Finite registers and their ordered computational bases
- Exact one-qubit gates and rotations
- Pauli formula for an axis rotation
- Amplitude amplification with a fixed integer iteration count
- Second moment of the signed sine-window phase kernel
- Finite capped amplification succeeds with a supplied lower bound
- Unitary hybrids on a preserved clean-work subspace
Used by
- Two-dimensional diagonal HHL inversion Example
- Ideal inverse amplitude and HHL postselection probability Lemma
- HHL capped postselection amplification cost Theorem
- HHL cost under direct controlled-simulation access Theorem
- HHL sparse-query and state-preparation cost Theorem
- OP5 HHL returns the QLSP state within the requested error Theorem
Dependency tree · two levels
99 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
- Aram W. Harrow, Avinatan Hassidim, and Seth Lloyd, Quantum algorithm for linear systems of equations (standard reference, not scraped)
- Andrew M. Childs, Robin Kothari, and Rolando D. Somma, Quantum algorithm for systems of linear equations with exponentially improved dependence on precision (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (standard reference, not scraped)