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TheoremStatement: Literature-sourcedProof: AI-generatedPipeline-generatedjudge pass (gpt-6-luna)
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Continuous-time walk resource accounting

Statement

Suppose a declared access model assigns query/gate/description-bit cost triples Cin=(qin,gin,bin), CH=(qH,gH,bH), and Cout=(qout,gout,bout) to the initial-state preparation, Hamiltonian evolution or simulator, and final measurement/readout of a continuous-time walk. If the model charges serial composition componentwise, the composed cost is Cin+CH+Cout=(qin+qH+qout, gin+gH+gout, bin+bH+bout), plus separately declared classical processing. The number of measured output bits is reported separately.

For the exact n-dimensional hypercube transfer, the initial state ∣0n⟩ requires no preparation gates. On the local-operation branch of Hypercube continuous-time state transfer, the evolution factors into n one-qubit operations UX(π/2)=e−iπX/2; this branch uses n local evolution calls and n gates when those operations are primitive in the declared gate model. A different finite gate set must charge its supplied synthesis cost. On the whole-operation branch, the procedure makes one call to the supplied UAn(π/2) and its query, gate, and description-bit costs are those declared by the access contract; the factorization identity alone does not imply n such calls or gates. Either branch reads out n bits.

For complete-graph search on arbitrary N≥2, the total includes the supplied preparation cost Cs=(qs,gs,bs), the declared ideal-or-simulated Hamiltonian-evolution cost, and the final readout cost. When N=2n with standard binary encoding, As=H⊗n is verified to prepare the uniform state; it has zero oracle queries and n Hadamard gates when H is primitive, and otherwise its declared synthesis costs are charged. The readout produces n bits. For a general m-bit encoding it produces m bits before any separately charged classical decoding. Simulator precision, oracle access, and description bits remain in their declared coordinates; a matrix alone gives no cost bound.

Facts & Assumptions

Given: The cost triples, the three serial stages, and the algorithms and access models stated above.

[F1]

Continuous-time Hamiltonian access cost model: each stage declares its separate query, gate, and description-bit costs, and serial composition adds these coordinates.

[F2]

Circuit-family and computation cost model: finite gate count, named-oracle query counts, and full circuit-description length are separate resource coordinates.

[F3]

Hypercube continuous-time state transfer: the input is ∣0n⟩ and the generator is An=∑j<nXj; the access contract supplies either the whole evolution or the local one-qubit evolutions, and the procedure uses the corresponding whole-operation or local-operation branch.

[F4]

Exact state transfer on the Boolean hypercube: at time π/2 the evolution factors as UAn(π/2)=⨂j<nUX(π/2).

[F5]

Complete-graph continuous-time search: for arbitrary N, As is supplied and charged; for N=2n, As=H⊗n is the standard-binary preparation when H is primitive (otherwise charge its supplied synthesis cost).

[F6]

Finite projective measurements: the final register is measured in its specified computational basis and the output word consists of the measured register bits.

[F7]

Hadamard preparation of a uniform binary state: for N=2n and standard binary labels, H⊗n∣0n⟩ is the uniform state; it uses n one-qubit Hadamard gates when H is primitive, otherwise the declared synthesis costs apply.

Proof

technique · direct
1.1givenF1F2algebra

Serial execution places the preparation, evolution, and readout costs in sequence. By the serial-composition rule [F1], each of the three coordinates is the sum of its corresponding stage coordinates; the finite gate and oracle coordinates remain separate as required by [F2].

1.2F3F4F6algebra

In the hypercube instance, [F3] says the initial register is already ∣0n⟩, so no preparation gates are applied. If the procedure takes the local-operation branch, [F4] gives one one-qubit evolution operation for each of the n tensor factors, hence n local calls and n gates exactly when those operations are primitive in the chosen gate model. If it takes the whole-operation branch, it calls the supplied UAn(π/2) once and its contract declares that call's resource cost. The factorization theorem [F4] is an operator identity and does not turn a whole-operation call into n calls. In either branch, measurement acts on the n register wires, so its output word has n bits by [F6].

2.1F1F2F5F6F7step 1.1algebra∎

In the complete-graph procedure, [F5] supplies a preparation with cost Cs, and the declared Hamiltonian and readout stages contribute their specified triples. Step 1.1 adds these triples; for N=2n, [F7] verifies the standard-binary preparation with n Hadamard gates (and zero oracle calls for that gate-only preparation). The measured encoding has m bits by [F6]; classical decoding is charged separately. No preparation or simulation cost is inferred from H itself.

Depends on

Used by

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