Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)
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.

Denominator exponent and optimal T count for determinant-one unitaries

Statement

Let U=(u−tˉtuˉ)∈SU(2) with u,t∈D. Let k be the least nonnegative integer such that (2)ku,(2)kt∈O. Count T gates over G={H,T,T†,S,S†,X,Y,Z} up to global phase. If k>0, each of U and TUT† has optimal T count in {2k−2,2k}, and

min⁡{t(U),t(TUT†)}=max⁡{0,2k−2}.

If k=0, both counts are zero. If u,t are nonzero and k>0, their individual least exponents both equal k.

Facts & Assumptions

Given: The displayed determinant-one matrix, exact gate matrices, and the stated cost model.

[F1]

Exact single-qubit Clifford+T ring characterization supplies an exact Clifford+T word for every unitary over D.

[F2]

Reduced Hadamard words and their exact denominators gives an exact reduced word with h H gates and odd interior powers, and squared-entry exponent h+1 for h≥2 or 2 for h=1.

[F3]

H-count and T-count optimality of exact Clifford+T synthesis establishes T optimality of every reduced word with h≥1, with count h−1+p(a)+p(c) for endpoint exponents a,c.

[F4]

Squared entry denominator bound gives sde⁡(∣z∣2)∈{2r,2r−1} when r=sde⁡(z).

[F5]

Unit-modulus elements of the dyadic cyclotomic ring says a unit-modulus element of D is a power of ω.

Proof

1.1F1F2F4F5givenalgebra

Reduce an exact word supplied by [F1] as in [F2], retaining its scalar ωq. When h=0, the matrix is monomial with unit-modulus nonzero entries, so [F5] gives k=0. Since its determinant is one, its diagonal exponent is even: its determinant is ω2q+a+4e. Hence the matrix uses no T gates, and neither does its conjugate by T, which changes its monomial exponent by 0 or 2. When h=1, every entry has modulus 1/2, and [F4] gives exponent 1 for every entry; thus k=1.

2.1F2F4step 1.1algebra

For h≥2, set s=h+1>0. All four squared moduli have exponent s: they are either ∣u∣2 or 1−∣u∣2, and the latter has primitive numerator whenever the former has positive least exponent, since subtracting from (2)s cannot make its primitive numerator divisible by 2. By [F4], every entry therefore has exponent ⌈s/2⌉, so k=⌈(h+1)/2⌉. Together with step 1.1, every case with h≥1 has h∈{2k−2,2k−1}, except that h=0 was treated separately.

3.1F3step 1.1step 2.1algebra∎

Write A=p(a)+p(c)∈{0,1,2}. The exact reduced word has determinant ω2q+a+c+∑bi+4(h+e)=1, so A+h−1 is even. Its optimal T count is h−1+A by [F3]. Conjugating by T changes the endpoint exponents to a+1 and c−(−1)e and leaves every odd interior exponent unchanged; hence both endpoint parities flip. The conjugate is still reduced with the same h and has optimal count h−1+(2−A). If h=2k−2 is even, the determinant parity forces A=1, giving both counts 2k−2. If h=2k−1 is odd, it forces A=0 or 2, giving the two counts 2k−2 and 2k. This includes h=1,k=1. Together with the monomial case in step 1.1, all assertions follow.

Remarks

The common nonnegative exponent handles u=0 without assigning a negative or infinite matrix exponent. When u,t are nonzero and k>0, the proof shows it is also the individual least exponent used in the usual synthesis formula. This provides the denominator/T-count relation locally rather than invoking a normal-form figure as a proof.

Depends on

Used by

Dependency tree · two levels

18 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