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Success bound under an explicit amplitude-amplification phase mismatch
Statement
Let , with , , and . Let satisfy Let be the phase-matched value from Phase-matching condition for amplitude-amplification rotations. Use its signed representative when and when , so . Let be the implemented phase representative, with . For either signed phase label , a call to Amplitude amplification with independently chosen phase rotations uses the canonical input if and if ; its phase operation is unchanged. Put If for , then after iterates using , the failure probability is at most . The factor multiplies the displayed constant. In the equal-phase case , the failure probability is over the same parameter range.
Facts & Assumptions
Given: The exact phase iterates and parameter ranges in the Statement.
Phase-matching condition for amplitude-amplification rotations: the canonical matched phase makes the two diagonal entries of the two-dimensional iterate equal and satisfies .
Prepared unitary and success subspace for amplitude amplification: , with orthonormal good and bad vectors, and the bad projection is .
The operator norm is zero on the zero domain and otherwise is max_{||v||=1} ||Tv||: . Unitary operators preserve vector norms by Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces.
, , and and Sine and cosine are -Lipschitz on : ; also for , by one-Lipschitzness and .
Pythagoras, the parallelogram identity, and the real and complex polarisation identities: for an orthogonal projection, the projected and complementary components are orthogonal and their squared norms sum to the input squared norm.
Projective measurement outcome weights are probabilities and A unit-vector outer product is a density operator: the squared norm of the good projection of the unit output vector is its good-outcome probability.
The derivatives of sine and cosine are cosine and minus sine, Cosine has a smallest positive zero, lying strictly between zero and two, and Pi as twice the smallest positive zero of cosine: , , , and is the first positive cosine zero.
The addition formulas for complex trigonometric and hyperbolic functions and Parity and the Pythagorean identity for sine and cosine: the addition and Pythagorean identities hold.
The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with : a continuous function on a closed interval and differentiable on its interior has a secant slope equal to a derivative at an interior point.
Sums, scalar multiples, products and quotients: , , , and when and The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with : sums, products, quotients, and compositions obey their differentiation rules.
The principal inverse tangent and Principal arctangent: derivative, integral, power series, and the Gregory–Leibniz series: the principal arctangent takes real values into , is increasing, and has derivative .
Signs, monotonicity intervals, and ranges of sine and cosine: sine is strictly increasing and cosine strictly decreasing on .
A function differentiable at is continuous at : differentiability on an interval implies continuity at every point of that interval.
Proof
By the addition and quarter-turn identities [F5], [F9], [F15], , so the canonical inputs specified in the Statement implement exactly the operators with the signed labels, and . In the ordered basis, set and . Since by [F5], the phase operations act by unit-modulus scalars on orthogonal subspaces and are unitary. From and the supplied phase operators, the iterate has matrix The diagonal entries coincide by [F1] and . The common diagonal is nonzero because the imaginary part of is . The lower-left entry has modulus . Thus the matched and implemented iterates are unitary and the matched matrix has equal diagonal entries.
Write the common diagonal as and the lower-left entry as . Unitarity gives , so because and . Since , put and ; both have modulus one, and , . If is the upper-right entry, column orthogonality gives . Hence , with and .
Write . From we get . Quarter-turn, parity, and monotonicity identities give and . If , failure is at most . If , put by [F13]. Since , [F13] gives , while the double-angle and supplementary identities give . Thus , and positivity yields . Hence , so by [F14]. Because and both angles lie in , [F14] gives . The addition formulas [F9] and induction give . The initial coordinates are , so the first coordinate of has modulus [given, F2, F7, F9, F13, F14, F15, step 2.1, algebra] The last inequality uses , cosine decreasing and sine increasing on , and , . The scalar has modulus one and leaves the good coordinate unchanged. By [F7], the matched failure probability is therefore at most .
Let be the iterate with phase . The arbitrary-phase definition gives [given, F3, F4, F5, F6, F7, step 3.1, algebra] For every unit vector , the projection contraction in [F6] and unitarity give by [F5], hence . Telescoping yields so unitarity gives . Set and for . Then . By [F7], the failure probabilities are and . Contraction of and reverse triangle give Thus implemented failure is at most by step 3.1.
For , . Set and . By [F8], [F15], ; by [F14], . The derivatives in [F8], [F11] make differentiable, hence continuous by [F16]; the mean value theorem [F10] applied to gives for . The same facts make continuous and differentiable, so [F10] on and gives slopes and ; the first is at least the second, so . Therefore , , and by [F5], [F8]. Also by [F5], [F8], so . The ceiling gives [given, F5, F8, F10, F11, F14, F15, F16, step 4.1, algebra] where the last inequality uses . Under with , we obtain . Step 4.1 gives failure at most ; when , the same bound is automatic since failure is at most .
In the equal-phase case with , put and . The matching condition [F1] and the principal inverse tangent [F12] give and . Let . By [F11], [F12], ; differentiability and [F16] give the continuity needed to apply [F10] to , so is nonincreasing. Applying [F10] to on and , the early secant slope is at least the late one; the secant slope on , their weighted average, is therefore at least the late slope. Thus , so . If , apply step 5.1 with ; if , step 3.1 gives the matched bound. The resulting failure is at most . For , , so the same big-O bound holds on the full range.
Depends on
- Prepared unitary and success subspace for amplitude amplification
- Amplitude amplification with independently chosen phase rotations
- Phase-matching condition for amplitude-amplification rotations
- Projective measurement outcome weights are probabilities
- A unit-vector outer product is a density operator
- The operator norm is zero on the zero domain and otherwise is max_{||v||=1} ||Tv||
- Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces
- Pythagoras, the parallelogram identity, and the real and complex polarisation identities
- Sine and cosine are $1$-Lipschitz on $\mathbb{R}$
- Complex sine, cosine, hyperbolic sine, and hyperbolic cosine from the complex exponential
- The addition formulas for complex trigonometric and hyperbolic functions
- Parity and the Pythagorean identity for sine and cosine
- $\exp(x+iy)=e^x(\cos y+i\sin y)$, $|\exp(x+iy)|=e^x$, and $e^{i\pi}+1=0$
- Pi as twice the smallest positive zero of cosine
- Quarter-turn values and shifts by pi/2 and pi
- The derivatives of sine and cosine are cosine and minus sine
- Cosine has a smallest positive zero, lying strictly between zero and two
- The addition formulas for sine and cosine
- Signs, monotonicity intervals, and ranges of sine and cosine
- 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 $c \in (a,b)$ with $f(b) - f(a) = f'(c)(b-a)$
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- The principal inverse tangent $\arctan:\mathbb R\to(-\pi/2,\pi/2)$
- Principal arctangent: derivative, integral, power series, and the Gregory–Leibniz series
- Cofunction, supplementary, quarter-turn, and reflection identities for the six trigonometric functions
- Double-angle and quadratic power-reduction identities
- Pi is the first positive zero of sine
- A function differentiable at $c$ is continuous at $c$
Used by
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Sources
- Peter Høyer, On Arbitrary Phases in Quantum Amplitude Amplification (standard reference, not scraped)
- Ronald de Wolf, Quantum Computing: Lecture Notes (standard reference, not scraped)