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.
Qubitized Hamiltonian simulator
Definition
Inputs. A finite Hermitian , with the certified norm promise , rational time , rational , and either (i) the exact block encoding with clean injection and , or (ii) a separately selected bounded-block-error mode with the same declared ancilla embedding and a unitary whose clean block satisfies for a supplied certified rational upper bound . The latter mode is accepted only if it passes the explicit post-degree error-budget test in steps 3 and 5. For either mode, declare the access and cost for controlled-, controlled-, both projector-phase circuits, coefficient preparation, SELECT, OAA reflections, phase synthesis, data access, and classical arithmetic. The input description also supplies terminating certified comparisons and rational-interval evaluations for the scalar arithmetic below.
Output. Return the finite circuit list and error certificate for a unitary dilation . Its success claim is on the clean-input isometry ; auxiliary output registers are approximate and are not measured to clean an unknown system input. On a failed polynomial or phase certificate, return the phase routine's declared failure status and do not report a simulator.
Generation and execution. Set and . For , return the identity circuit and zero query count. Otherwise:
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Starting at , increase until and Evaluate each strict comparison by the certified interval routine named in OP0 of the binding operational appendix; an undecided equality is not rounded toward success.
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For each , compute from the series in Hamiltonian-simulation polynomial target. Stop its alternating-series evaluation only after its ratio is below and its geometric remainder is at most . Store a rational coefficient and its error interval. Form . Set Thus is the rounded Jacobi–Anger truncation and its certified scalar error is ; the sign is literal.
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Require a certified combined polynomial error at most . Then on . Put , , and , and set . Define since . In exact-block mode put . In bounded-block-error mode require the supplied rational upper bound to satisfy ; otherwise return
CERTIFICATE_ERROR. This is the explicit block-error allocation for the selected degree. Call Real bounded-polynomial QSP phase synthesis separately on the rational real targets inefficient-numericalmode with tolerance , their actual degree, and its parity. If either target is identically zero, declare degree and even parity. Retain each complementary-polynomial identity, phase list, per-phase precision and optional compiler certificates. A successful call certifies , where is the exact phase-list polynomial error and are the implemented phase-slot errors, by Correctness of QSP phase synthesis. Execute each real QSVT extraction using Quantum singular-value transformation circuit and the supplied forward/inverse signal calls of Qubitization access model, with block-compression error in exact mode or at most in bounded mode. For the bounded mode, compare each exact and singular-value transform on the perturbed and target block using Operator perturbation bound for QSVT, then average the two bounds. The phase-list polynomial mismatch and implemented phase-slot errors together contribute at most , while the averaged block perturbation is at most . Thus each extracted clean block differs from its target by at most . Since is even and odd, these singular-value transforms on Hermitian equal the ordinary polynomials and : the even values agree at , while for the odd transform a negative eigenvalue has left singular vector and therefore supplies the sign; also . Propagate every non-success status from either synthesis or extraction unchanged; do not report a simulator on a failed certificate. -
Pad both extraction workspaces to the same ordered register space. Prepare a clean coefficient qubit in . SELECT applies the block in branch and times the block in branch . Unprepare the coefficient qubit. The ideal target block is , where . Let be twice the clean block of this phase-certified when its remaining operations are exact. By the step-3 synthesis certificates and branchwise robustness from Operator perturbation bound for QSVT, In exact-block mode this bound uses . Since , the ideal target polynomial error satisfies here by finite spectral calculus and . The factor is a relative phase under any outer control and is not discarded.
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Apply the explicit phase-corrected oblivious-amplitude-amplification unitary , where and is the complete even/odd block-combination circuit. Retain its work registers. By step 4, with , the certified OAA input error is The exact and bounded-block variants use the same OAA route; Robust one-step OAA including ancilla leakage certifies phase/block clean-input isometry error at most , including the retained-work leakage.
For the remaining implementation error, unroll the complete post-amplification circuit, including every occurrence within , both OAA reflections, the known correction, each and controlled call, both SELECT branches, coefficient preparation/unpreparation, projector-reflection implementation, and all inverses. Exclude only phase-rotation and optional phase-compiler errors already covered by the two step-3 certificates. Let be the number of remaining primitive-unitary occurrences in this unrolled list. For , require each finite-basis implementation of its ideal unitary to have a certified full-space bound ; exact supplied calls have zero error. Count repeated and controlled occurrences separately. If any implementation lacks a unitary certificate at its allocation, return
IMPLEMENTATION_ERROR. The full-space telescoping product estimate, using The inner-product norm is definite, homogeneous, and satisfies the triangle inequality and unitary norm one, gives remaining post-amplification error at most (zero if ). The complete clean-input isometry certificate is therefore at most ; returnCERTIFICATE_ERRORif a certified comparison does not verify this bound. A controlled simulator controls every whole block and the known correction, using the separately supplied controlled access and counting its implementation in the same way.
The arithmetic, coefficient series, two phase-generation calls, controlled QSVT sequences, coefficient register, SELECT, and OAA list are finite outputs; their gate, query, precision, workspace, description-bit, and classical computation costs are separate coordinates. The phase-generation call is the finite procedure of Real bounded-polynomial QSP phase synthesis, not a free source routine. A sparse input uses its actually supplied block-encoding circuit and its exact row-location, value, precision, and state-preparation costs; standard XOR sparse access alone does not imply an in-place reversible location permutation.
Depends on
- Qubitization access model
- Hamiltonian-simulation polynomial target
- Qubitization lifts scalar QSP
- Quantum singular-value transformation circuit
- Real bounded-polynomial QSP phase synthesis
- Correctness of QSP phase synthesis
- QSVT action on singular subspaces
- Operator perturbation bound for QSVT
- The operator norm is submultiplicative and satisfies ||T^*T|| = ||T||^2
- The inner-product norm is definite, homogeneous, and satisfies the triangle inequality
- Robust one-step OAA including ancilla leakage
Used by
Dependency tree · two levels
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Sources
- András Gilyén, Yuan Su, Guang Hao Low, and Nathan Wiebe, Quantum singular value transformation and beyond, §5.1 (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms, Chapter 29 §§29.3–29.4 (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes, Chapter 9 §9.4.1 (standard reference, not scraped)