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Quantum Phase Estimation
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Circuit Syntax, Denotational Semantics, and Measurement
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Controlled Gates, Phase, and Entanglement
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Cyclic Groups and Direct Products
- Determinants of Matrices over a Commutative Ring
- Diagonalisation and the Minimal Polynomial
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Fourier Analysis and the Fast Fourier Transform
- Finite-Dimensional Complex Inner-Product Spaces and Matrix Interfaces
- Foundations of the Real Numbers for Analysis
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fundamental Trigonometric Identities
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurements, POVMs, and Instruments
- Metric Spaces
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Properties of the Integral and the Working FTC
- Pure and Mixed States, Ensembles, and Schmidt Decomposition
- Quantum Fourier-Transform Circuits
- Qubits, Bloch Sphere, Pauli Algebra, and One-Qubit Gates
- Registers, Tensor Products, and Partial Trace
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Splitting Fields
- Strongly Continuous Semigroups and Hille Yosida
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tensor Products of Modules
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Galois Correspondence
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Trigonometric and Oscillatory Examples in One Variable
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This page fixes phase modulo one, the big-endian phase-register convention, circular distance, and the separate controlled-power and repeated-controlled-unitary access models. It defines forward quantum phase estimation using controlled positive powers followed by the inverse of the positive-sign binary QFT, with an explicit Lüders projective readout. The finite outcome kernel gives the exact-grid law, the nearest-grid probability bound, and the circular tail estimate. It also records exact query and ideal gate counts, plus the eigenspace-weighted output law and conditional instrument for superpositions. Coherent uncomputation requires separately supplied and charged controlled inverse powers.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Finite geometric sum for phase-estimation amplitudes
Statement
For and , define with the empty sum . Then where is the canonical natural embedding of into .
For , , and integer , setting gives ; moreover exactly when .
Facts & Assumptions
Given: , , and, for the specialization, , , , and .
A finite sum is independent of its enumeration and splits over a disjoint union; for the initial segment , this gives (A finite sum in a commutative monoid indexed by an arbitrary finite set, Finite commutative-monoid sums are invariant under bijective reindexing, split over disjoint unions, and satisfy the finite Fubini rule).
Complex powers satisfy and (Integer powers in the complex field).
The complex numbers form a field, so multiplication distributes over addition and every nonzero element has an inverse ( is a field, every element is uniquely , and every nonzero element has inverse ).
The canonical natural is defined recursively by , (The canonical natural of a field).
Induction holds on (The principle of mathematical induction).
The complex exponential satisfies , and exactly when (, and the complex exponential extends the real exponential, , and exactly when , The complex exponential by its power series).
Proof
At , the sum is empty, so by [F1] and [F2].
Fix and assume ; this is the induction hypothesis.
By [F1] and [F2], , using distributivity in [F3] and the induction hypothesis [step 1.2]. Thus [F5] proves for every .
If , every summand is , so [F1] gives and . At , this equals by [F4]; if , the two successor recursions give . Induction [F5] proves for every . If , then , so divide the identity from step 2.1 by in the field [F3] to obtain .
In the QPE specialization, repeated use of [F6] and the power recursion [F2] gives . Since , [F6] gives , hence . The same kernel statement gives exactly when , equivalently , or .
Sine chord and linear bounds
Statement
For and ,
Facts & Assumptions
Given: , , and as defined by Pi as twice the smallest positive zero of cosine.
, and is nonincreasing on (The derivatives of sine and cosine are cosine and minus sine, Signs, monotonicity intervals, and ranges of sine and cosine).
Sums and scalar multiples of differentiable real functions have the corresponding sum and scalar-multiple derivatives (Sums, scalar multiples, products and quotients: , , , and when ).
The identity function has derivative , as its difference quotient is (The derivative of at a point that is a limit point of , and differentiability on a set).
The mean value theorem applies to a function continuous on a closed interval and differentiable on its interior (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ).
Sine is -Lipschitz on : (Sine and cosine are -Lipschitz on ).
Proof
Define on . By [F1], [F3], and [F4], and on the interior.
By [F2], is nonincreasing: if , then , so .
Fix . Apply [F5] on and to obtain and with and . Since , step 2.1 gives . Dividing by the positive numbers and , then multiplying by their product, gives ; as , .
If , take in step 3.1 to get . At and , the same inequality is equality by [F1].
For , [F6] and give . Thus both stated inequalities hold.
Circular phase distance modulo one
Definition
For a real , define its circular distance to the nearest integer by Here is the real absolute value and is the minimum of the displayed finite set (Order on the reals, Maximum and minimum of a set); existence of this finite minimum follows from Every nonempty finite set of reals has a maximum and a minimum. Both entries lie in , so the value lies in . If , the nearest integer is ; if , it is ; if , it is , so the formula is the distance to the nearest integer. For phases , their circular distance is ; the difference belongs to , the stated domain.
Eigenphase estimation access model
Definition
Let be a finite-dimensional complex inner-product space, a unitary, and a unit vector with a promised phase such that For an integer , let . The phase register is with ordered computational basis indexed big-endian by , where (Finite registers and their ordered computational bases, Big-endian encoding of ordered bit strings). Thus the wire of weight is .
There are distinct forward-access options:
- Controlled-power access. The model explicitly supplies one controlled operation for each . Each use is counted as one controlled-power query; an implementation's ordinary gate cost is recorded separately.
- Single controlled-unitary access. The model supplies calls to in the control-first order of Controlled Unitary Access. A controlled may be implemented by sequential calls to ; those calls are charged individually.
Optional controlled inverse-power access is a separate capability that explicitly supplies for each required . It is not implied by either forward option. It is needed only by a consuming procedure that reverses the controlled-power portion of a coherent QPE prefix. Reversing the inverse-QFT gate list does not use .
Finite ordered-register syntax is specified by Finite circuit syntax and ordered wire labels, gate action by Denotational semantics of a finite layered circuit, and projective measurement outcomes by Finite projective measurements. The definition is an access-model promise: it does not assert that the supplied controlled powers have an efficient construction or that has an exact -bit expansion.
Quantum phase estimation
Definition
Input. An integer ; an -qubit phase register; a finite-dimensional system register ; a unitary ; a unit eigenvector with promised phase ; and one of the forward access capabilities in Eigenphase estimation access model.
Output. A classical label and its phase estimate , where .
Instructions.
- Initialize the phase register in and the system register in .
- Apply the Hadamard of Exact one-qubit gates and rotations to each phase wire. This prepares in the declared big-endian order.
- For , apply the supplied controlled to control wire and the system. Under single controlled-unitary access, implement that operation with sequential calls to , as specified by the access model.
- Apply the inverse of the positive-sign exact binary QFT circuit of Positive-sign cyclic quantum Fourier transform and Exact binary QFT circuit correctness. Construct it by reversing the chronological gate list and replacing each gate by its adjoint, including the final swaps and negating controlled-phase angles.
- Perform the computational-basis projective measurement on the phase register. Its specified Lüders instrument has branch map for each label (Finite projective measurements, Finite instruments and conditional states). Output the observed label and the ratio .
The inverse in step 4 is the inverse QFT, not ; a forward QPE run makes no controlled inverse-unitary query. The coherent prefix is the circuit through step 4 before measurement. A consumer that coherently uncomputes this prefix needs the separate controlled inverse-power capability from Eigenphase estimation access model.
Remarks
For the instrument clause in step 5, let and . Tensor products of these operators act factorwise on elementary tensors by Tensor products of finitely many linear maps. The phase-register basis projectors are self-adjoint idempotents, mutually orthogonal and complete, so is a projective measurement on (Finite projective measurements, Finite registers and their ordered computational bases, Ordered tensor registers, their inner product, and wire permutations). The space is nonzero and finite-dimensional because and the input includes a unit vector in finite-dimensional (Eigenphase estimation access model). For every , Thus each is nonnegative (Non-negative and positive operators) and the complete family is a finite POVM (Finite POVMs and their outcome law). Since is itself nonnegative and , uniqueness of the nonnegative square root gives (A non-negative operator has a unique non-negative square root). Applying The square-root Lüders maps form an instrument to this POVM therefore proves that the branch maps specified in step 5 form a valid finite instrument.
Phase-estimation finite outcome law
Statement
Let , , and let the input be an eigenvector with , where . For each , the probability of measuring in the algorithm of Quantum phase estimation is Thus the finite outcome kernel is defined at every phase, including ; no quotient with a zero denominator is needed in this formula.
Facts & Assumptions
Given: The eigenphase input and access model of Eigenphase estimation access model, the algorithm of Quantum phase estimation, and .
The phase convention is , and the phase-register basis is big-endian with the wire of weight at position (Eigenphase estimation access model, Big-endian encoding of ordered bit strings).
The algorithm prepares , applies controlled on the wire of weight , then applies the inverse of the positive-sign binary QFT and measures the phase register (Quantum phase estimation).
The denotation of chronological layers is , with each gate embedded on its declared wires (Denotational semantics of a finite layered circuit).
The positive-sign cyclic QFT has matrix action ; the exact binary circuit implements it in the declared order (Positive-sign cyclic quantum Fourier transform, Exact binary QFT circuit correctness).
On the phase register, is one member of the finite orthogonal resolution of the identity; the outcome weight of a density operator is (Finite registers and their ordered computational bases, Ordered tensor registers, their inner product, and wire permutations, Tensor products of finitely many linear maps, Finite projective measurements, Projective measurement outcome weights are probabilities, Finite POVMs and their outcome law).
The Dirac convention is linear in the first argument of the root inner product, so acts by , has coordinate matrix , and has trace (Dirac Notation Conversion, Dirac Notation Coordinate Identity, The basis-independent trace of an endomorphism of a finite-dimensional vector space, The trace as the sum of the diagonal entries). A normalized nonzero vector defines the density operator by Ray-to-projector is well-defined and bijective.
The finite cyclic character sum is at frequency and otherwise (Orthogonality of the characters on ).
Complex conjugation distributes over finite sums and (Real and imaginary parts, complex conjugation, and modulus, Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Trace is cyclic for compatible finite-dimensional maps: (For and , ).
For real , . Indeed, by , , and , while the addition law gives (, and the complex exponential extends the real exponential, The complex exponential by its power series); since (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive), conjugation gives the same inverse, which is unique in the complex field ( is a field, every element is uniquely , and every nonzero element has inverse ).
Proof
Before the controlled powers, the state is by [F2]. Write , where is the bit at wire by [F1]. The controlled operation on that wire applies exactly when ; multiplying the eigenvalues gives . Hence the state after the controlled-power stage is . Reading this gate sequence as an operator on the ordered register uses [F9].
The inverse QFT matrix coefficient from input to output is , by [F3] and the adjoint convention. Applying it to step 1.1 gives , where . The sign is positive in the eigenphase and negative in the inverse-QFT coefficient, yielding the displayed difference . The operator ordering is the one in [F9].
The vector is normalized. Expand the finite squared moduli using [F7]. For every real , [F10] gives , and the exponential addition law combines each conjugate pair of phases; interchanging the finite sums then gives . By [F6], the inner sum is when and otherwise, because ; therefore . Since and the are orthonormal, .
The ray-projector theorem [F5] makes a density operator. The phase-register projective outcome has projector from [F4], so it extracts . By [F5] and [F8], , where the penultimate equality uses . The outcome law in [F4] therefore gives this probability to the classical label . Substituting the value of from step 2.1 gives exactly the displayed .
The finite sum in the displayed law is defined for every , including when is an integer. For its geometric-sum specialization, the denominator is zero exactly when , equivalently ; in every other case Finite geometric sum for phase-estimation amplitudes gives the nonzero-denominator quotient. Thus the stated squared-sum law handles all phases without an undefined quotient.
Phase-estimation query and gate costs
Statement
Let and . Count costs in the ideal continuous-rotation submodel, where each exact controlled phase used by the binary QFT is one gate. If the controlled powers , , are supplied as one query each, one run uses exactly controlled-power queries. If the only oracle is , the repeated implementation uses exactly controlled- queries. If the supplied controlled-power circuits have ordinary gate counts , the unitary gate count after the eigenstate input is provided is The final register measurement reads bits and is not included in this unitary gate count. No cost-free power construction, fixed finite gate alphabet, uniform family, or state-preparation bound is asserted.
Facts & Assumptions
Given: The -bit QPE procedure, , and the ideal gate-cost convention stated above.
The QPE procedure applies one controlled for each , with Hadamards to prepare the phase register (Quantum phase estimation).
Under single-controlled-unitary access, one call is the control-first block ; the eigenphase-estimation model permits the th controlled power to be implemented by sequential calls (Controlled Unitary Access, Eigenphase estimation access model).
The exact -wire QFT circuit uses Hadamards, controlled phases, and named swaps in the ideal model; its inverse has the same count (Exact binary QFT ideal gate count).
The operation model may assign gate, classical-bit, and query costs separately, and each coordinate counts the calls actually made (Finite circuit resource accounting).
The natural-valued sum has and (Finite sums and finite products of natural numbers, and in ).
Natural powers satisfy and ; natural multiplication satisfies , using (Exponentiation of natural numbers, , and its agreement with the integer power in , Multiplication of natural numbers, Zero and one under multiplication).
Natural induction is valid, and natural addition is associative and commutative (The principle of mathematical induction, Addition is associative, Addition is commutative).
Proof
Under controlled-power access, the loop in [F1] invokes exactly one supplied operation for each of the indices , hence exactly controlled-power queries.
Under single controlled-unitary access, the repeated implementation specified by the procedure uses sequential calls to for the controlled power at index [F2], so the total query count is the natural sum . To identify this natural-valued sum, prove by induction. At , . If , then [F4, F6, F7] give . Hence ; by the defining truncated difference in [F4]'s source and commutativity of addition, .
The supplied power circuits contribute ordinary gates. Phase-register preparation contributes Hadamards, and the inverse QFT contributes the count in [F3]. Adding gives the displayed unitary gate count; reversing the QFT circuit changes neither its count nor the query count.
Measurement outputs one -bit label. The operation model [F5] keeps query, ordinary-gate, and classical-bit costs separate; the input eigenstate's preparation is outside the theorem's stated count. Therefore the displayed formula asserts only the stated gate profile and does not infer an implementation of powers from a black-box .
Nearest-grid probability in phase estimation
Statement
For every , , and , a nearest grid label , minimizing , exists. Every nearest label satisfies In particular, this holds at ties between adjacent labels and at the wrap-around between and .
Facts & Assumptions
Given: , , and .
For every real , there is an integer with (Integer part: for every real there is exactly one integer with ).
For , (Circular phase distance modulo one).
The phase-estimation probability is (Phase-estimation finite outcome law).
If , then (Finite geometric sum for phase-estimation amplitudes).
For , , and for , (Sine chord and linear bounds).
The complex exponential is additive in its exponent, exactly for , and with (, and the complex exponential extends the real exponential, , and exactly when , , , and ).
Complex conjugation preserves modulus and (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Sine is odd and cosine is even (Parity and the Pythagorean identity for sine and cosine).
Proof
Put and , so and by [F1]. If , choose ; if and , choose ; if and , choose . The resulting circular distance is respectively or , at most .
Every integer has a lift representation with and : apply [F1] to and set , , so . Thus grid labels and their lifts range over all integers, and minimizing circular phase distance is the same as choosing an integer nearest to . If , every integer is at distance at least and every is at distance at least , so is nearest; when , is also nearest. If , every integer is at distance at least and every is at distance at least , so is nearest. If a nearest integer is , its label is : this is the wrap-around choice in step 1.1 when , and the tied wrap-around label when . Thus every nearest label has distance .
Fix a nearest label and set , . Since , the definition of gives an integer and sign with . By [F6], . If , Euler's formula and the evenness of cosine and oddness of sine in [F8] give , so [F7] shows its distance from has the same modulus as for . Euler's formula gives . Since and by [F5], . The same calculation with gives when , because .
When , [F4] and step 3.1 yield . If , then and [F3] gives .
If , step 2.1 gives . By [F5], and ; hence step 4.1 gives . If , step 4.1 gives . Thus every nearest label, including either label at a tie, has the claimed probability.
Circular-distance tail bound in phase estimation
Statement
Let , , , , and . With as in Circular phase distance modulo one,
Facts & Assumptions
Given: , , , and with .
The outcome law is (Phase-estimation finite outcome law).
Circular distance satisfies for (Circular phase distance modulo one).
The integer part satisfies , and the same floor property applies to (Integer part: for every real there is exactly one integer with ).
The geometric-sum identity gives for (Finite geometric sum for phase-estimation amplitudes).
For , (Sine chord and linear bounds).
For real , , and the exponential is periodic under integer shifts (, , and , , and the complex exponential extends the real exponential, , and exactly when ).
The complex modulus is subadditive (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Sine is odd and cosine is even (Parity and the Pythagorean identity for sine and cosine).
Proof
For an outcome , put and . If , then ; write with and . By [F4] and [F1], . By [F6], integer shifts do not change these exponentials. For , Euler's formula gives . Since and by [F5], the denominator modulus is at least ; if , Euler's formula and the evenness of cosine and oddness of sine in [F8] give , so [F7] gives the same modulus. The numerator is at most by [F6]–[F7]. Hence . If , this outcome is not in the tail event because .
For an outcome in the tail, let . If , then , a contradiction; hence . Also by [F2], since . If , there are no tail outcomes.
Suppose . For each label , choose if , if , and if , where . Then and . Distinct labels give distinct lifts: equality would make their difference a multiple of , while their label difference has magnitude less than . For an annulus , the lift lies in or . Each half-open interval of length contains at most one element of the integer translate , because distinct elements differ by a nonzero integer. Thus at most two labels lie in this annulus.
Every such label has , so step 1.1 bounds its probability by . The total tail probability is therefore at most . For , . The finite sum telescopes to at most , so the tail is at most . Together with the empty-tail case in step 1.2 this proves the claim.
Exact phase recovery on the QPE grid
Statement
Let , , and . If , then , phase estimation returns with probability , and every other output has probability .
Facts & Assumptions
Given: The eigenphase input, , , and .
The outcome probability is (Phase-estimation finite outcome law).
For and integers , is when and otherwise (Orthogonality of the characters on ).
Proof
Since , the integer satisfies . At , every summand in [F1] is , so .
If and , then is not divisible by , since and . Substituting in [F1], the sum is the nontrivial cyclic-character sum in [F2], hence zero; therefore .
Phase estimation on a superposition of eigenspaces
Statement
Let be a unitary on a nonzero finite-dimensional complex inner-product space . Let be its finite set of distinct eigenphases, and let denote the orthogonal projection onto the full eigenspace for eigenvalue ; degeneracies are grouped in one projection. For , , define For a unit input , the unnormalized branch vector is and If , the conditional vector is ; if , no conditional vector is assigned. The outcome law is an eigenspace-weighted mixture, while the conditional branch can retain coherent cross terms between distinct eigenspaces.
After discarding the phase register, the induced system instrument has branch maps for operators on . More generally, for a density operator on , where is a nonzero finite-dimensional reference space, the unnormalized reference-preserving branch after measuring and discarding the phase register is Its probability is , and the conditional state is exactly when that probability is positive. With , the reference outcome law is , where and . If every eigenphase is on the -grid, then when and otherwise, so the instrument branch is . If any eigenphase is off-grid, its nonzero coefficient has modulus less than one in every , so is not a projection and the induced instrument is not the spectral projection instrument.
Facts & Assumptions
Given: The finite-dimensional unitary , its spectral subspaces, the QPE circuit and access promise, a unit vector , and optionally a density operator on .
A unitary on a finite-dimensional inner-product space is normal: the isometry characterization gives (For an endomorphism in finite dimension, preserving lengths, preserving inner products, carrying orthonormal bases to orthonormal bases, and are equivalent). The complex spectral theorem therefore gives an orthogonal decomposition into eigenspaces, with mutually orthogonal spectral projections summing to the identity (Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely, Self-adjoint and normal endomorphisms of a finite-dimensional real or complex inner product space).
A unitary is an isometry; if with , norm preservation gives (Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces, For an endomorphism in finite dimension, preserving lengths, preserving inner products, carrying orthonormal bases to orthonormal bases, and are equivalent).
Every unit scalar is for a unique ; moreover for every real ( is a bijection from onto the real unit circle, , , and , , and exactly when ).
The algorithm's final readout branch is the Lüders map for (Quantum phase estimation).
Chronological layers denote , and each local gate is embedded on its declared wires (Denotational semantics of a finite layered circuit). For linear maps , the operator is the linear map with (Tensor products of finitely many linear maps).
Tensor-map adjoints satisfy , so for every finite reference factor (Tensor maps preserve composition, identities, and adjoints).
If in the ancilla basis, the identity extension of has blocks by the block-amplification lemma. The sandwich has those same blocks because tensor maps act factorwise (Finite ancilla amplification is a well-defined block map, Tensor products of finitely many linear maps, Tensor maps preserve composition, identities, and adjoints).
The inverse positive-sign QFT contributes matrix coefficient , and the eigenphase convention contributes on the -th controlled-power branch (Positive-sign cyclic quantum Fourier transform, Quantum phase estimation, Exact binary QFT circuit correctness).
The finite outcome kernel satisfies for every phase (Phase-estimation finite outcome law).
Orthogonal projections satisfy , for , and (Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely, The orthogonal projection is the -component in ).
A completely positive map remains positive under every finite identity extension; a finite instrument has completely positive branches and its sum preserves trace (Completely positive maps, Finite instruments and conditional states).
Trace is linear and cyclic on finite-dimensional operators (Trace is a linear functional on , For and , , The basis-independent trace of an endomorphism of a finite-dimensional vector space).
A density operator is nonnegative with trace one, and partial trace over a finite register discards that factor while retaining the reference system (Density operator, Partial trace over a finite tensor factor).
For , the finite geometric amplitude is ; exactly for (Finite geometric sum for phase-estimation amplitudes, , and exactly when ).
The phase-register computational-basis readout is a projective measurement with effects : they are self-adjoint idempotents, mutually orthogonal and complete (Finite registers and their ordered computational bases, Ordered tensor registers, their inner product, and wire permutations, Tensor products of finitely many linear maps, Finite projective measurements). For every vector in the joint register, , so each is nonnegative (Non-negative and positive operators). Together with completeness, this makes a finite POVM (Finite POVMs and their outcome law).
The spectral projections tensored with form a finite projective measurement, and their traces against a density operator are nonnegative weights summing to one (Tensor products of finitely many linear maps, Projective measurement outcome weights are probabilities, Finite projective measurements, Density operator).
Proof
By [F1], write orthogonally with projections . By [F2], every eigenvalue has modulus one, and [F3] supplies its unique phase . Therefore and .
On a phase-register basis branch , the controlled powers act as . On each eigenspace, . Applying the inverse-QFT matrix in [F4], the coefficient of on is ; hence the post-readout Kraus operator on is . Interpreting the chronological gate list as this operator uses [F14].
Orthogonality in [F6] gives . Summing over and using [F5] yields . Consequently, for a unit vector , ; all cross terms vanish because the eigenspaces are orthogonal. The weights are nonnegative and sum to one, so this is the eigenspace-weighted mixture law.
If every has , the finite geometric sum in [F10] and cyclic-character orthogonality give for and otherwise. Distinct phases have distinct labels, so is exactly the spectral projection for the eigenspace with label , or zero if there is none.
By linearity of the circuit, its pre-readout map from to the phase register tensored with is , with the from step 2.1. For any operator on , the joint output is , using [F15] for the tensor adjoint. Applying the readout branch in [F13] gives . Reorder the phase factor to the last position using [F11], then take its partial trace by the coordinate formula [F9]; the sole nonzero diagonal phase coordinate is , so the result is exactly . In particular this holds for the density operator in the statement. To prove complete positivity, take any finite reference factor and any nonnegative operator on . Its identity extension is by [F16]. Writing , its quadratic form is , so every finite extension is positive and each branch is completely positive by [F7].
If some phase is off-grid, then for every , and by [F10]. The geometric formula gives for every . Since and [F5] says the squared moduli sum to one, each is strictly less than one. Thus acts on this eigenspace by a scalar of modulus strictly between zero and one, so is not a projection; the induced system instrument is not the spectral projection instrument.
For any finite-dimensional reference (including ) and any operator on , [F8] and step 2.2 give . Taking proves that the system maps form an instrument on . For a density with arbitrary reference , cyclicity and linearity also give . By [F12], the weights are nonnegative and sum to one. Therefore the reference outcome law is the claimed mixture. When , is nonnegative of trace one, and when no conditional density is defined. For a pure input the conditional vector is .
To witness coherence for a permitted , let and choose the witness space with orthonormal basis . Define on this entire space by and , extending linearly. Each basis coefficient is multiplied by a unit scalar by [F3], so preserves the norm and is unitary by For an endomorphism in finite dimension, preserving lengths, preserving inner products, carrying orthonormal bases to orthonormal bases, and are equivalent. Set , which is unit. At output , , while [F10] and [F3] give : [F10] makes the denominator nonzero since , and [F3] gives for the numerator. Thus , and its rank-one operator has the nonzero cross terms and . The branch probability is positive because its coefficient is nonzero, so conditioning preserves these cross terms.
Phase-estimation nearest-grid and tail bounds
Statement
Let , , and . Every nearest grid label has . For any with , If is an integer , then and all other labels have probability .
Facts & Assumptions
Given: , , , and, for the tail conclusion, with .
A nearest label exists and every nearest label has probability at least (Nearest-grid probability in phase estimation).
The circular-distance tail for is at most (Circular-distance tail bound in phase estimation, Circular phase distance modulo one).
Exact-grid phases are returned with probability one (Exact phase recovery on the QPE grid).
Proof
Apply [F1] to the given ; it supplies a nearest label and the lower bound .
If , all hypotheses of [F2] hold, so the stated circular-distance tail bound follows.
If , [F3] gives and zero probability at every other label. These conclusions prove the theorem.
5 · Examples, counterexamples and false statements
None yet.