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Uniform finite-arity local-energy measurement synthesis

Statement

Fix k. Let K be a Hermitian matrix on at most k qubits with rational or effectively encoded algebraic entries of bit length b, let B≥∥K∥ be a positive rational of bit length b, and set E=(I−K/B)/2. For any rational 0<η<1/2, a deterministic polynomial-time generator in b+ℓ(η)+1/η outputs a finite QC14 circuit with one flag bit whose measured outcome 1 has effect E~ satisfying ∥E~−E∥≤η. Let U0 be the Naimark block unitary of the proof and define Uacc=(Xflag⊗I)U0. The construction supplies polynomial-time Cauchy names for Uacc and a standalone dilation circuit whose unitary is within η/2, up to global phase, of Uacc. With one selector bit, Effective synthesis of fixed-dimensional unitaries compiles the full block diagonal matrix I⊕Uacc from those Cauchy names. Circuit size and generator bit time are polynomial in b+ℓ(η)+1/η, where ℓ(η) is the binary encoding length of the rational tolerance. No local matrix is treated as a free gate or oracle.

Facts & Assumptions

Given: Fixed k, encoded Hermitian K, rational B>0 with B≥∥K∥, and rational 0<η<1/2.

[F1]

Bernstein approximation to the square root: degree d≥1/(4δ4) Bernstein polynomials approximate x on [0,1] uniformly within δ.

[F2]

Polar correction of a near-unitary matrix: if ∥M−U∥≤ε≤1/8 for unitary U, the polar unitary Q satisfies ∥Q−U∥≤2ε.

[F3]

Effective synthesis of fixed-dimensional unitaries: a fixed-dimensional unitary with polynomial-time Cauchy entries can be compiled to operator error ζ up to a global scalar phase, with polynomial bit cost and size.

[F4]

Finite POVMs and their outcome law: measuring a two-outcome projective flag and ignoring the unmeasured data register yields the corresponding compressed effect on the input.

[F5]

Encoded k-local Hamiltonian promise problem: each local term is an effectively encoded finite Hermitian matrix on at most fixed k qubits.

Proof

1.1givenF5algebra

The effective encoding and fixed arity in [F5] give a fixed-dimensional matrix with computable entries. By Hermiticity and the norm bound, every eigenvalue λ of K/B lies in [−1,1]; hence the eigenvalues of E lie in [0,1]. The finite-dimensional spectral theorem therefore gives positive square roots S=E and R=I−E. The block matrix U0=U=(SRR−S) is unitary: S,R are commuting functions of E, S2+R2=I, and the off-diagonal products cancel. For input flag 0, its flag-0 block is S. Follow the dilation by X on the flag, so the accepted branch is labeled outcome 1; define the marked-accept dilation Uacc to be this full unitary. Its accepted effect is S∗S=E.

2.1F1F2step 1.1algebra

Choose degree d≥1/(4δ4) and use [F1] to form Bernstein polynomials Sd=Bd(E) and Rd=Bd(I−E). Functional calculus on the eigenbasis gives ∥Sd−S∥,∥Rd−R∥≤δ. Thus the block matrix M=(SdRdRd−Sd) satisfies ∥M−U∥≤2δ by the triangle inequality for its two block columns. Taking δ≤1/16 and applying [F2] gives an exactly unitary polar correction Q with ∥Q−U∥≤4δ.

2.2F5step 1.1algebra

Polynomial-time Cauchy names for the ideal dilation require a precision-polynomial construction. For A=E or I−E, put X0=I, Xj+1=(Xj+AXj−1)/2. On each eigenvalue a∈[0,1], the scalar iterate satisfies xj≥max⁡{a,2−j} and 0≤xj+1−a=(xj−a)2/(2xj)≤(xj−a)/2. Thus ∥Xj−A∥≤2−j and ∥Xj−1∥≤2j, even when a=0. For error 2−p, take m=p+3, approximate A once to operator error h=2−10(m+1)2, and round every iterate to dyadic entries with total operator rounding error at most h. If the iterate error is ej≤2−j−1, the inverse identity bounds inverse error by 22j+1ej and approximate inverse norm by 2j+1. Therefore ej+1≤22j+2ej+2j+1h+h. With e0=0, this gives ej≤22(m+1)2h for j≤m, smaller than 2−m and 2−j−1, so the bounds hold throughout. In fixed local dimension D, rational inversion by adjugate and determinant uses a fixed number of arithmetic operations; the approximate iterates have least singular value at least 2−j−1 and determinant modulus at least 2−D(j+1). Rounding after each iteration keeps all stored entries at OD(m2) bits. The m iterations and the input approximation consequently cost polynomial time in the encoding length and p. They supply polynomial-time Cauchy names for S,R and Uacc.

3.1F2F3F4step 2.1step 2.2algebra∎

Select δ≤η/16, and compile Q to a circuit with a phase representative V′ satisfying ∥V′−Q∥≤η/4 using [F3]. The accepted flag outcome effect of the physical circuit is E~=V00∗V00, where V00 is the flag-0 compression before the final X relabeling; the global scalar relating the physical unitary to V′ cancels in this effect. Compressions are contractions, so ∥E~−E∥≤∥V′∗P0V′−U∗P0U∥≤2∥V′−U∥≤2(η/4+4δ)≤η. The fixed dimension is at most 2k+1; Bernstein degree is O(η−4), and its coefficients and matrix products have polynomially many bits at the needed precision. The polar series and fixed-width synthesis also have polynomial generator cost by [F2]–[F3]. Step 2.2 supplies polynomial-time Cauchy entries for Uacc=(Xflag⊗I)U0, so the same fixed-dimensional synthesis applies to the block diagonal matrix I⊕Uacc after adding one selector bit. Thus no controlled operation is assumed without synthesis.

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