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Amplitude amplification increases the probability of obtaining an answer accepted by a specified Boolean function. It requires a coherent preparation $A$, its inverse, and a marked-state phase oracle that negates accepted components. Alternating that sign change with a reflection operator about the prepared state directs interference toward the accepted subspace. Brassard, Høyer, Mosca, and Tapp developed the general framework, extending Grover's algorithm beyond a uniform quantum superposition. ^[ref].

If a normalized quantum state has good amplitude $\sin \theta$, the product of the reflection in the bad axis and the reflection in the state line rotates its good-bad plane by $2\theta$. After $k$ iterations the good probability isso $O(1/\sin \theta )$ iterations raise a small good amplitude close to one. Success subsequently oscillates, making the stopping time part of the algorithm.

Compute the exact Grover search on four entries directly. Order the computational basis as $00,01,10,11$ and mark $11$. The Hadamard transform prepares amplitudes $(1/2,1/2,1/2,1/2)$. The marked-state phase oracle changes these to $(1/2,1/2,1/2,-1/2)$, whose arithmetic mean is $\overline{a}=1/4$. The Grover diffusion operator performs inversion about the mean:The three unmarked amplitudes become $1/2-1/2=0$, while the marked amplitude becomes $1/2-(-1/2)=1$. All three stages have squared norm one. Here $\sin \theta =1/2$, so $\theta =\pi /6$ and one iteration gives ${\sin }^2(3\theta )=1$, agreeing with the explicit calculation.

Grover's original search paper was submitted on 29 May 1996; its algorithm combines selective sign changes with inversion about the mean. The example exposes the beauty of that construction: a change initially invisible to computational-basis measurement becomes complete cancellation of every wrong answer. ^[ref].

The marked-state phase oracle is an assumed operation, whose implementation cost must be counted. Computational-basis measurement yields a candidate label, here $11$; using it to retrieve a record requires the relevant data access. Preparing a quantum superposition does not make all its entries available as classical outputs. The improvement concerns the number of oracle queries needed to obtain an accepted label.

Let $|s⟩=H^{\otimes n}|0^n⟩$, let $U_f$ be the marked-state phase oracle, and replace reflection about $|0^n⟩$ by reflection about a known computational basis vector $|y⟩$. Define $T_y={⨂}_{j=0}^{n-1}{Z}_j^{y_j}$, so $T_y|x⟩=(-1{)}^{x\cdot y}|x⟩$ and $H^{\otimes n}|y⟩=T_y|s⟩$. The resulting Grover iterate obeysbecause the two diagonal operators $T_y,U_f$ commute. Thus the good and bad uniform vectors are replaced by their signed vectors $T_y|g⟩,T_y|b⟩$, with exactly the same Grover rotation angle. Initializing in $H^{\otimes n}|y⟩$ gives $G_y^r|s_y⟩=T_y{G}^r|s⟩$. Computational-basis measurement probabilities are unchanged because $T_y$ only multiplies amplitudes by signs.

Let $x\in \{00,01,10,11\}$ and let $f(x)$ be one only at the marked input. A three-qubit implementation of Grover's algorithm starts with $|00⟩|1⟩$, applies a Hadamard gate to each qubit, queries the reversible quantum oracle $U_f:|x,y⟩\mapsto |x,y\oplus f(x)⟩$, applies the Grover diffusion operator $D=2|s⟩⟨s|-I$ to the first two qubits, and measures those two qubits in the computational basis. Here $|s⟩=\frac{1}{2}{\sum }_x|x⟩$. The full three-wire quantum circuit is the composition

Here $|-⟩=(|0⟩-|1⟩)/\sqrt{2}$. Since $X|-⟩=-|-⟩$, phase kickback gives $U_f(|x⟩|-⟩)=(-1{)}^{f(x)}|x⟩|-⟩$. The third qubit remains separable and unchanged. A direct marked-state phase oracle $O_f|x⟩=(-1{)}^{f(x)}|x⟩$ therefore replaces the three-qubit query using only two qubits:For the explicit choice $f(x)=1$ only at $x=11$, $O_f$ is a Controlled-Z gate. Immediately after it,The mean of these four probability amplitudes is $\overline{a}=1/4$. The Grover diffusion operator maps each probability amplitude $a_x$ to $2\overline{a}-a_x$. The three unmarked probability amplitudes become zero and the marked one becomes one. A single query consequently finds $11$ with probability one.

A gate-level implementation of $D$ is $H^{\otimes 2}(2|00⟩⟨00|-I)H^{\otimes 2}$. Up to an irrelevant global phase, it is $H^{\otimes 2}{X}^{\otimes 2}\mathrm{CZ}{X}^{\otimes 2}{H}^{\otimes 2}$. For any other chosen marked word, conjugate the Controlled-Z gate by Pauli X gates on precisely the positions where the marked word has a zero.

In liquid-state NMR quantum computing, use two distinguishable spin-$1/2$ atomic nuclei in one molecule as the two qubits. Their different resonance frequencies permit selective radiofrequency pulses for one-qubit rotations. In a suitable rotating frame, refocusing removes unwanted one-spin terms while the NMR scalar coupling suppliesAssuming $J>0$, free evolution for $t=1/(2J)$ implements $U_J=e^{-i\pi Z_1{Z}_2/4}$. Define $R_z(\theta )=e^{-i\theta Z/2}$. ThenThis equality follows directly by evaluating the four diagonal entries: the first three are $+1$ and the $11$ entry is $-1$. Negative $J$ can be handled by refocusing or reversing the effective interaction sign. The global phase can be ignored.

Thus the marked-state phase oracle for $11$ requires scalar-coupling evolution and calibrated one-spin rotations. For a marked word $b_1{b}_2$, conjugate by $X_1^{1-b_1}{X}_2^{1-b_2}$, realized as selective $\pi$ pulses. The Grover diffusion operator uses the same entangling operation with additional one-qubit pulses. Liquid-state NMR quantum computing usually reads an ensemble signal and often prepares an effective pseudo-pure deviation from a large mixed background; that reproduces this small quantum algorithm's signal without providing a scalable source of pure initialized qubits.

For the normalized vector defining the orthogonal projection $P=|\varphi ⟩⟨\varphi |$, $P^k=P$ for every $k\ge 1$. Thuswhich proves the projector phase rotation identity in this case:It changes the sign of the component along $\varphi$ and fixes the orthogonal complement, so it is a reflection operator.

For a marked computational basis vector $w$, $U_{P_w}=I-2|w⟩⟨w|$ is the marked-state phase oracle. With $|\psi ⟩=H^{\otimes N}|0^N⟩$, the other reflection isThe Hadamard gates thus implement its change of basis from the known all-zero state. The usual Grover diffusion operator is $D=2|\psi ⟩⟨\psi |-I=-U_{P_{\psi }}$. Consequently a Grover search algorithm iteration isThe minus sign is an irrelevant global phase. These two reflections rotate the search state in the span of the marked vector and the unmarked uniform vector, with the Grover rotation angle controlled by the initial marked amplitude. Iterating them approximately $\pi \sqrt{2^N}/4$ times gives high-probability search. The same pair of projectors appears additively in the continuous-time Hamiltonian, but the product of full reflections and evolution under their sum are distinct dynamics.

For the known bit string $y$, define the Pauli gate product $T_y={⨂}_{j=0}^{N-1}{Z}_j^{y_j}$. Its diagonal action is $T_y|x⟩=(-1{)}^{x\cdot y}|x⟩$, where the binary inner product is taken modulo two. The Hadamard transform produces $|{\varphi }_y⟩=H^{\otimes N}|y⟩=T_y|\varphi ⟩$. Thus the required vectors for Grover search with a nonzero reflection label areThey remain orthonormal and $|{\varphi }_y⟩=\sin \theta |{\tilde{\Psi }}_g⟩+\cos \theta |{\tilde{\Psi }}_b⟩$. The new iterate is $G_y=(2|{\varphi }_y⟩⟨{\varphi }_y|-I)U_f$. Since $T_y$ commutes with the diagonal marked-state phase oracle and $T_y^2=I$,Consequently its matrix on the signed basis is exactly the rotation matrix in part (a), proving the claimed equivalence of the two evolutions.

Write $N=2^n$ and $|s⟩=N^{-1/2}{\sum }_{x=0}^{N-1}|x⟩$. The initial Hadamard gates prepare $|s⟩$ in the search register and $|-⟩$ in the final quantum ancilla. Since the Pauli X gate satisfies $X|-⟩=-|-⟩$, the Boolean quantum oracle acts by quantum phase kickback:For a single marked entry this is the marked-state phase oracle $O_a=I-2|a⟩⟨a|$ on the search register. The ancilla stays separate and unchanged throughout.

The Grover diffusion operator is $V=2|s⟩⟨s|-I$, because $H^{\otimes n}|0^n⟩=|s⟩$. The PDF circuit places one diffusion after each oracle call, so the state before measurement isIn the supplied amplitude amplification theorem, take $|\psi ⟩=|s⟩$ and $|\varphi ⟩=|a⟩$. Their overlap has modulus $1/\sqrt{N}$, so the Grover rotation angle is $\theta =\arcsin (N^{-1/2})$. A quantum measurement in the computational basis therefore givesThe inverse sine here is applied to the overlap of the two different states. The converted TeX's self-overlap in the angle definition is a transcription error; the original PDF has $|⟨\varphi |\psi ⟩|$.

Prepare an ancillary qubit inIt can be prepared from $|0⟩$ by an $X$ operation followed by a Hadamard gate, independently of $g$. One call to the Boolean quantum oracle then gives quantum phase kickback:The data state receives a minus sign precisely on the basis vectors spanning $\mathcal{G}$, while the ancilla remains unchanged and unentangled. One oracle call realizes the reflection. By linearity it is the marked-state phase oraclewith one oracle call. The ancillary preparation and its optional inverse use only fixed operations, so no additional knowledge of $g$ is needed.

Assume first $0<k<N$. Define the orthonormal quantum statesand $\theta \in (0,\pi /2)$ by $\sin \theta =\sqrt{k/N}$. The relevant invariant subspace is the two-dimensional span of these quantum states, not the entire Hilbert space. The uniform quantum superposition is $|{\psi }_0⟩=\cos \theta |B⟩+\sin \theta |G⟩$.

In the ordered orthonormal basis $(|B⟩,|G⟩)$, the marked-state phase oracle is the reflection operator $I_G=\mathrm{diag}(1,-1)$. Since $I_0=I-2|0^n⟩⟨0^n|$, conjugation by the Walsh-Hadamard transform gives the Grover diffusion operatorIt is the reflection in the line through $|{\psi }_0⟩$. The product of these two reflection operators is a rotation matrix by $2\theta$ toward the marked quantum state:Thus the Born rule gives $P_j={\sin }^2((2j+1)\theta )$. Choose a nonnegative integer $j_{\ast }$ nearest to $\pi /(4\theta )-1/2$. Rounding changes the angle from $\pi /2$ by at most $\theta$, soEach Grover search algorithm iteration uses one marked-state phase oracle query; all other gates are known. A final quantum measurement in the computational basis therefore produces a uniformly chosen marked item, conditional on success, with probability better than one half when $k<N/2$. This uses the supplied marked count $k$ to select the stopping time; an unknown $k$ needs an additional search schedule or counting procedure. If $k=N$, no oracle query is needed; if $k=0$, no marked item exists, so a successful search is impossible.

Interpret a function collision as two distinct inputs with equal outputs. Without distinctness the request is vacuous, since an input paired with itself always qualifies. Set $m=\lceil N^{1/3}\rceil$ (handling small $N$ by direct queries), choose a known set $A$ of size $m$, and query all its inputs. Store a classical table of their outputs and corresponding inputs. If this table contains a function collision, return it immediately.

Otherwise the table contains $m$ distinct outputs. Because $g$ is exactly two-to-one, each $a\in A$ has exactly one partner in $B$, the known complement of $A$. None lies in $A$, and different table outputs have different partners. Thus exactly $m$ inputs in $B$, of size $L=N-m$, satisfy the known-table membership predicateBuild a marked-state phase oracle for this predicate by a compute-phase-uncompute construction: use $U_g$ on a clean answer quantum register, reversibly compare its output against the classical table, apply the conditional minus sign, undo the comparison, and apply $U_g$ again. Since the answer operation is bitwise exclusive or, $U_g^{-1}=U_g$. All workspace returns to zero, and each phase query costs two calls to $U_g$.

Perform known-subset Grover search in the span of the computational basis states labelled by $B$, starting in their uniform superposition state. Reflection about this known state uses no $U_g$ queries; choosing $A$ as an initial interval makes $B$ a known interval that can also be encoded by its own $L$ labels. Its marked fraction is $m/L$, so the previous Grover rotation angle analysis uses $O(\sqrt{L/m})$ phase queries. On measuring $b$, one further $U_g$ query checks the output and retrieves its partner $a$ from the table. The inputs are distinct because the two sets are disjoint.

Consequently the quantum query complexity isFor large $N$, rounding the optimal Grover search algorithm iteration count gives success at least $1-m/(N-m)>1/2$. An internal table function collision already gives certain success. The balance $m\asymp \sqrt{N/m}$ explains the cube-root choice. This is the Brassard–Høyer–Tapp collision algorithm: its table uses $O(m\log N)$ classical bits. The bound counts calls to $U_g$, as requested; it does not charge table lookup and its reversible implementation as constant-time gates, or claim an overall polynomial time in $\log N$.

The marked-state phase oracle changes only the amplitude of $|x_0⟩$. Since that amplitude in $|\psi ⟩$ is $1/2$,Also,It follows that $A|\psi ⟩=-|\psi ⟩$ and $A|x_0⟩=|x_0⟩-|\psi ⟩$, soThe global minus sign has no observable effect. Prepare $|\psi ⟩=H^{\otimes 2}|00⟩$, query $I_{x_0}$ once, apply the fixed operator $A$, and perform a quantum measurement in the computational basis. The outcome is $x_0$ with probability one. This is exact Grover search on four entries.

Choose $U$ to prepare the uniform superposition, so the marked-state probability is $p=1/4$. Apply the marked-state phase oracle $R_g^{\pi }$, followed by the reflection $U{R}_{00}^{\pi }{U}^{†}$ about the prepared state. Part (iii) shows that this single Grover iteration produces $-|g⟩$. A projective measurement in the four-item basis therefore returns the marked element with probability one. This is exact Grover search on four entries.

To find an input of a permutation whose output lies in a known $K$-element subset, compute the output, apply its marked-state phase oracle, and use uncomputation. A modular-addition quantum oracle costs two forward queries per marked reflection, because modular-oracle inversion by negation supplies its inverse. Amplitude amplification then uses $O(\sqrt{N/K})$ queries for fixed success probability. Positive-square outputs have $K=\lfloor \sqrt{N-1}\rfloor$ and hence query cost $O(N^{1/4})$.