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Determinant-one reduction for optimal Rz approximation

Statement

Set c=∣1−eiπ/8∣. If 0<ε<c, every exact one-qubit Clifford+T matrix V with ∥Rz(θ)−V∥op≤ε has determinant one. If ε≥c, there is a determinant-one Clifford matrix of T-count zero meeting this error bound. Consequently, for every positive precision the minimum T-count over all feasible matrices is attained among determinant-one matrices.

Facts & Assumptions

Given: A real angle θ, positive precision ε, and the on-the-nose error and T-count conventions of the approximation problem.

[F1]

Determinants of one-qubit Clifford+T words are eighth roots: every exact one-qubit Clifford+T matrix has determinant ωj, where ω=eiπ/4.

[F3]

The operator norm is zero on the zero domain and otherwise is max_{||v||=1} ||Tv||: ∥A∥op=max⁡∥x∥=1∥Ax∥.

[F4]

Clifford+T gate library and exact matrices: S=diag⁡(1,i) and ωjI are Clifford matrices, and scalar Clifford phases cost no T gates.

[F5]

Ancilla-free Rz approximation problem and T-count: Rz(θ)=diag⁡(e−iθ/2,eiθ/2); the T-count is a nonnegative integer.

[F7]

Determinant-one Clifford+T words are dense in SU(2): every SU(2) target has an exact determinant-one Clifford+T word within any positive error.

[F8]

Integer part: for every real x there is exactly one integer m with m≤x<m+1: for every real x, ⌊x⌋ is the unique integer m with m≤x<m+1.

[F9]

Signs, monotonicity intervals, and ranges of sine and cosine: sine is strictly increasing on [0,π/2] and cosine is strictly decreasing on [0,π].

[F10]

exp⁡(x+iy)=ex(cos⁡y+isin⁡y), ∣exp⁡(x+iy)∣=ex, and eiπ+1=0: ∣eix∣=1 and ∣1−eix∣=2∣sin⁡(x/2)∣ for real x.

[F11]

t↦(cos⁡t,sin⁡t) is a bijection from [0,2π) onto the real unit circle and [F10]: every unit complex number can be written as eiϕ for a real ϕ.

[F12]

Parity and the Pythagorean identity for sine and cosine: sin⁡(−x)=−sin⁡x and sin⁡2x+cos⁡2x=1; in particular, sin⁡0=0.

[F14]

The derivatives of sine and cosine are cosine and minus sine and A function differentiable at c is continuous at c and The mean value theorem, as the case g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a): sin⁡′=cos⁡ and differentiability makes sine continuous; for each x>0, the mean value theorem on [0,x] gives sin⁡x=xcos⁡y for some y∈(0,x). By [F12], cos⁡y≤1.

Proof

1.1F1F2F3F5F6F9F10F12givenalgebra

Suppose ε<c and put A=VRz(θ)∗. The matrix A is unitary. By [F2] it has an orthonormal eigenbasis. For a nonzero eigenvector v with eigenvalue λ, norm preservation gives ∣λ∣ ∥v∥=∥Av∥=∥v∥, so ∣λ∣=1; by [F11] write the two eigenvalues as eiϕ1,eiϕ2 with ϕj∈[−π,π]. Unitary multiplication preserves [F3], and the norm of a diagonal matrix is the largest modulus of its entries, so ∣1−eiϕj∣≤ε<c. Since ∣1−eix∣=2∣sin⁡(x/2)∣ by [F10]. Since ∣ϕj∣/2∈[0,π/2], [F12] gives ∣sin⁡(ϕj/2)∣=sin⁡(∣ϕj∣/2) and sin⁡0=0; [F9] makes this strictly increasing in ∣ϕj∣. Thus ∣1−eiϕj∣<c implies ∣ϕj∣<π/8. Hence ∣ϕ1+ϕ2∣<π/4. By [F1,F6] and det⁡Rz(θ)=1, ei(ϕ1+ϕ2)=det⁡A=det⁡V=ωj. The only eighth root with an argument strictly between −π/4 and π/4 is 1; thus det⁡V=1.

1.2F3F4F5F8F9F10F12F13F14algebra

Suppose ε≥c. Set q=⌊2θ/π+1/2⌋ by [F8]. Then q−1/2≤2θ/π<q+1/2, so ∣qπ/4−θ/2∣≤π/8. Set C=ω−qSq=diag⁡(ω−q,ωq). It is a Clifford matrix with determinant one and T-count zero by [F4]. The two diagonal entries of Rz(θ)−C have the same modulus ∣1−ei(qπ/4−θ/2)∣≤2sin⁡(π/16)=c by [F9, F10], and c≤ε by the case hypothesis. To check the domain used here, [F13] gives 0<π/16<π/2; [F9, F12] give 0≤sin⁡(π/16), and [F14] gives sin⁡(π/16)≤π/16. Thus c=2sin⁡(π/16)≤π/8<1/2. [F3] therefore gives the required error bound. At equality ε=c the weak inequality still holds.

2.1F5F7step 1.1step 1.2algebra∎

For ε<c, step 1.1 says every feasible matrix already has determinant one. For ε≥c, step 1.2 attains T-count zero, which is minimal by nonnegativity [F5]. The feasible set is nonempty by [F7], applied with error smaller than ε. Its T-counts form a nonempty subset of the nonnegative integers, hence have a least element attained by a feasible word. Thus restricting to determinant-one matrices never changes this attained minimum.

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