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Uniform finite-arity local-energy measurement synthesis
Statement
Fix . Let be a Hermitian matrix on at most qubits with rational or effectively encoded algebraic entries of bit length , let be a positive rational of bit length , and set . For any rational , a deterministic polynomial-time generator in outputs a finite QC14 circuit with one flag bit whose measured outcome has effect satisfying . Let be the Naimark block unitary of the proof and define . The construction supplies polynomial-time Cauchy names for and a standalone dilation circuit whose unitary is within , up to global phase, of . With one selector bit, Effective synthesis of fixed-dimensional unitaries compiles the full block diagonal matrix from those Cauchy names. Circuit size and generator bit time are polynomial in , where is the binary encoding length of the rational tolerance. No local matrix is treated as a free gate or oracle.
Facts & Assumptions
Given: Fixed , encoded Hermitian , rational with , and rational .
Bernstein approximation to the square root: degree Bernstein polynomials approximate on uniformly within .
Polar correction of a near-unitary matrix: if for unitary , the polar unitary satisfies .
Effective synthesis of fixed-dimensional unitaries: a fixed-dimensional unitary with polynomial-time Cauchy entries can be compiled to operator error up to a global scalar phase, with polynomial bit cost and size.
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.
Encoded k-local Hamiltonian promise problem: each local term is an effectively encoded finite Hermitian matrix on at most fixed qubits.
Proof
The effective encoding and fixed arity in [F5] give a fixed-dimensional matrix with computable entries. By Hermiticity and the norm bound, every eigenvalue of lies in ; hence the eigenvalues of lie in . The finite-dimensional spectral theorem therefore gives positive square roots and . The block matrix is unitary: are commuting functions of , , and the off-diagonal products cancel. For input flag , its flag- block is . Follow the dilation by on the flag, so the accepted branch is labeled outcome ; define the marked-accept dilation to be this full unitary. Its accepted effect is .
Choose degree and use [F1] to form Bernstein polynomials and . Functional calculus on the eigenbasis gives . Thus the block matrix satisfies by the triangle inequality for its two block columns. Taking and applying [F2] gives an exactly unitary polar correction with .
Polynomial-time Cauchy names for the ideal dilation require a precision-polynomial construction. For or , put , . On each eigenvalue , the scalar iterate satisfies and . Thus and , even when . For error , take , approximate once to operator error , and round every iterate to dyadic entries with total operator rounding error at most . If the iterate error is , the inverse identity bounds inverse error by and approximate inverse norm by . Therefore . With , this gives for , smaller than and , so the bounds hold throughout. In fixed local dimension , rational inversion by adjugate and determinant uses a fixed number of arithmetic operations; the approximate iterates have least singular value at least and determinant modulus at least . Rounding after each iteration keeps all stored entries at bits. The iterations and the input approximation consequently cost polynomial time in the encoding length and . They supply polynomial-time Cauchy names for and .
Select , and compile to a circuit with a phase representative satisfying using [F3]. The accepted flag outcome effect of the physical circuit is , where is the flag- compression before the final relabeling; the global scalar relating the physical unitary to cancels in this effect. Compressions are contractions, so The fixed dimension is at most ; Bernstein degree is , 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 , so the same fixed-dimensional synthesis applies to the block diagonal matrix after adding one selector bit. Thus no controlled operation is assumed without synthesis.
Depends on
Used by
Dependency tree · two levels
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Sources
- Julia Kempe, Alexei Kitaev, and Oded Regev, The Complexity of the Local Hamiltonian Problem (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes (standard reference, not scraped)
- Andrew M. Childs, Lecture Notes on Quantum Algorithms (standard reference, not scraped)