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Quantum-Walk Search and Element Distinctness — Examples

1 · Prerequisites

2 · Summary

The examples compute two small lazy Johnson spectra and marked fractions, then specialize the unique-collision probability and balanced setup/update costs. The counterexample separates a one-call coherent value oracle from ordinary two-wire circuit size and spells out how random-access memory changes the charged gate model.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passOpen item page →

One oracle query can require many ordinary gates

Statement refuted

For each m≥1, let fm:{0,1}m→{0,1} be parity, fm(i)=i1⊕⋯⊕im, and consider its coherent XOR oracle

Ofm∣i,b⟩=∣i,b⊕fm(i)⟩.

In the value-oracle query model this is one oracle call. In the ordinary circuit model with bounded-arity two-wire gates, every exact implementation using product clean ancillas requires at least m two-wire gate occurrences that connect the m address wires to the target component. By contrast, in the declared random-access-memory model of Random-access quantum-memory gate model, one addressed swap reads the precomputed parity bit into a clean scratch location; two such calls with an intermediate copy restore memory and implement the XOR action, with the constant number of RAM calls charged separately. Memory construction and maintenance remain separate costs. Thus a query count alone does not bound ordinary gate count, and unit-cost QRAM access is a distinct model.

Facts & Assumptions

Given: The coherent function-oracle action, the ordinary finite circuit gate-occurrence convention, and the separate random-access memory gate model.

[F1]

Coherent XOR function oracle: the value oracle maps ∣i,b⟩ to ∣i,b⊕f(i)⟩ and one declared oracle call is one query.

[F2]

Finite circuit resource accounting: ordinary gate size counts each gate occurrence separately, and a bounded-arity gate acts on only its declared wires.

[F3]

Random-access quantum-memory gate model: a random-access memory gate swaps the addressed memory bit with a target in one model-defined gate-time unit, with memory construction and updates separately charged.

Proof

1.1F1F2givenalgebra

The parity oracle is exactly one application of the supplied Ofm, so its query count is one by [F1]. In an ordinary circuit, form the interaction graph whose vertices are all circuit wires and whose edges join the two wires acted on by each two-wire gate occurrence. If the target's connected component omitted an address bit, then no gate couples that bit to the target or to any intermediary on its component; the circuit factors across this separation, making the target output independent of the omitted bit. This contradicts parity's dependence on each input bit: fixing the other bits and changing the omitted bit changes the target. Hence the graph contains a connected subgraph joining the target and all m address wires. Any connected graph containing these m+1 distinct terminals has at least m edges, even if it also contains ancilla vertices; each edge comes from a gate occurrence.

2.1F1F2F3step 1.1construct∎

For the explicit upper-bound constructions, choose an ordinary gate alphabet containing CNOT, with basis action ∣a,b⟩↦∣a,b⊕a⟩; this is an additional model choice, not a consequence of [F2]. Applying the m CNOT gates from each address bit to the target computes parity into that target and gives an exact m-gate implementation. In QRAM, store zi=fm(i) and use one addressed swap to move zi to a clean scratch bit, copy it by CNOT into the oracle target, and use a second addressed swap to restore the memory and clear the scratch. This is a constant number of RAM calls by [F3], but it still requires the table to have been constructed and maintained. The online gate models therefore count one oracle call versus at least m ordinary two-wire gates for this function, with RAM construction cost recorded separately.

ExampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passOpen item page →

Small Johnson-walk spectra and marked fractions

Example

For N=5,r=2 and N=6,r=3, compute the lazy Johnson spectrum, its gap, and the marked fraction from one fixed colliding pair. Also compute the marked fraction for two disjoint colliding pairs in the N=6,r=3 case. In the one-pair cases assume that the named pair is the only collision pair; in the two-pair case assume that the named disjoint pairs are the only collision pairs, so their common values are distinct and all remaining values are distinct from each other and from those common values.

Facts & Assumptions

Given: The lazy Johnson transition and formulas in Element-distinctness Johnson walk and value access and Spectrum of the lazy Johnson walk.

[F1]

Spectrum of the lazy Johnson walk: λj=1−j(N+1−j)/(2r(N−r)) with multiplicity (Nj)−(Nj−1), for 0≤j≤r.

[F2]

Element-distinctness O(N^{2/3}) query bound: one fixed collision pair marks a fraction at least r(r−1)/[N(N−1)] of all r-subsets.

[F3]

Element-distinctness Johnson walk and value access: the state space consists of all r-subsets and marked states contain at least one collision pair.

Proof

1.1F1F2F3algebra

For N=5,r=2, the denominator in [F1] is 2r(N−r)=12. At j=0,1,2, the eigenvalues are 1, 1−5/12=7/12, and 1−8/12=1/3. Their multiplicities are 1, (51)−(50)=4, and (52)−(51)=5, totaling 10=(52). Thus the nonconstant top eigenvalue is 7/12 and the gap is 5/12. An independent finite check enumerates the ten 2-subsets lexicographically and forms the integer matrix BST=12P(S,T): its diagonal is 6, and its off-diagonal entry is 1 exactly when ∣S∩T∣=1. Exact determinant expansion gives det⁡(xI−B)=(x−12)(x−7)4(x−4)5, confirming the scaled spectrum. A fixed colliding pair lies in (30)=1 of the 10 subsets, so its marked fraction is 1/10.

1.2F1F2F3algebra

For N=6,r=3, the denominator is 18. Formula [F1] gives eigenvalues 1,2/3,4/9,1/3 for j=0,1,2,3. Their multiplicities are 1,5,9,5, totaling 20=(63). The independent exact check enumerates the 20 triples and forms BST=18P(S,T) with diagonal 9 and off-diagonal 1 exactly when ∣S∩T∣=2; fraction-free determinant expansion gives det⁡(xI−B)=(x−18)(x−12)5(x−8)9(x−6)5, confirming those eigenvalues and multiplicities. The gap is 1−2/3=1/3. A fixed pair belongs to (41)=4 of the 20 subsets, hence has marked fraction 1/5.

2.1F2F3step 1.2algebra∎

Under the stated assumption that the only collision pairs are the two named disjoint pairs, each pair is contained in four 3-subsets, and no 3-subset contains both pairs because their union has four elements. The two marked families are therefore disjoint and their union has 4+4=8 subsets, a fraction 8/20=2/5. The value exceeds the one-pair lower bound 1/5, as required by the “at least” in [F2]. Without the exclusivity assumptions, the counted families still give lower bounds for the marked fraction, but extra collisions can increase it.

ExampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passOpen item page →

Unique-collision element-distinctness parameters

Example

Suppose exactly one pair of distinct indices has equal values. Compute its marked fraction for N=8,r=4, and verify the balanced setup/update expression for r of order N2/3.

Facts & Assumptions

Given: The Johnson-walk state and cost conventions of Element-distinctness Johnson walk and value access and the query bound of Element-distinctness O(N^{2/3}) query bound.

[F1]

Element-distinctness Johnson walk and value access: a state is an r-subset, and its marked condition is the presence of a colliding pair; setup and update query costs are r and 2.

[F2]

Element-distinctness O(N^{2/3}) query bound: a fixed pair is included with probability r(r−1)/[N(N−1)], and the one-outer-trial query bound is 2r+O(N/r).

Proof

1.1F1F2algebra

For N=8,r=4, the state space has (84)=70 subsets. Exactly (62)=15 contain the unique colliding pair, so ε=15/70=3/14, equal to r(r−1)/[N(N−1)]=12/56. The stationary mass is positive, and [F1] gives four setup value queries, two value queries per update, and no extra value query for the stored-value check.

2.1F1F2step 1.1algebra∎

More generally, for r=Θ(N2/3) with r≤N/2, [F2] charges at most two fresh setups, with leading term 2r=Θ(N2/3) and update/search term N/r=Θ(N2/3). Thus both terms are of the same asymptotic order and the theorem's total is O(N2/3). For N=8, the clamp in the theorem selects r=4; its expression is 8+O(8/2)=8+O(4), consistent with this scaling.

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