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Qubits, Bloch Sphere, Pauli Algebra, and One-Qubit Gates
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
- 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
- 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-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
- 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
- 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
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
A qubit is the ordered two-dimensional complex register with basis and a state is a positive semidefinite trace-one operator. This page defines with the explicit sign convention for , proves their complete multiplication and trace table, and derives the unique real Bloch coordinates. The density operators correspond exactly to the closed unit ball in ; its boundary sphere consists exactly of pure states. It also fixes exact matrices and scalar phases for and the Pauli gates, and proves the axis-rotation exponential formula and Hadamard conjugations. Inner products retain the repository's first-argument-linear convention through the cited state and register definitions. All claims are finite-dimensional mathematics; no physical postulate is used.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Qubit spaces and states
Definition
The qubit space is the one-qubit register of Finite registers and their ordered computational bases, with ordered computational basis . This basis is orthonormal by The computational basis is orthonormal. A qubit state is a density operator on in the sense of Density operator, namely a non-negative endomorphism of trace one. A pure qubit state is a pure-state ray on in the sense of Pure state and ray. The Bloch coordinates and their state-space constraints are defined and proved in the following items on this page.
The term qubit here names the two-dimensional register and its mathematical state space. No physical preparation or measurement postulate is part of this definition.
The Pauli matrices
Definition
In the ordered computational basis of Qubit spaces and states, define the identity and Pauli endomorphisms of by
The displayed sign in fixes all later orientation and rotation conventions.
Remarks
The adjoint, product, and trace identities are proved in Pauli matrix algebra and trace identities.
Pauli matrix algebra and trace identities
Statement
For the matrices of The Pauli matrices, each is self-adjoint and unitary, and . Distinct Pauli matrices anticommute. For , Here , when and otherwise, and is the alternating symbol with . Also and .
Facts & Assumptions
Given: The ordered computational basis of and the four matrices displayed in The Pauli matrices.
The Pauli matrices: , , and .
In orthonormal bases, the matrix of the adjoint is the conjugate transpose of the matrix: in an orthonormal basis, the adjoint matrix is the conjugate transpose.
The trace as the sum of the diagonal entries: the trace of a square matrix is the sum of its diagonal entries.
For an endomorphism in finite dimension, preserving lengths, preserving inner products, carrying orthonormal bases to orthonormal bases, and are equivalent: on a finite-dimensional inner-product space, implies that is unitary and .
Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces: a unitary operator on a complex inner-product space is an invertible linear isometry from the space to itself.
Proof
Multiplying the entries of the matrices in [F1] gives the nine row-by-column products , , , , , , , , and .
By [F1] and [F2], , , and ; the diagonal entries of each product are and its off-diagonal entries are , so each product is . By [F4] each is a unitary operator, in the sense of [F5].
The six off-diagonal products in step 1.1 have opposite signs when their order is reversed, so the matrices anticommute pairwise and the table is exactly the product formula in the Statement. The same matrices have and by [F3]. Taking traces in step 1.1 gives when and otherwise.
Remarks
The sign is fixed by the displayed matrix; changing the sign of would change every orientation formula that follows.
Bloch coordinate maps
Definition
Let be the qubit space of Qubit spaces and states, and let be a density operator on in the sense of Density operator. Define its candidate Bloch coordinates in by For any , define the associated Hermitian-matrix candidate Write and The next theorem proves that these trace coordinates are real and that every Hermitian trace-one matrix is uniquely ; the positivity theorem determines which real-coordinate candidates are states.
Exact one-qubit gates and rotations
Definition
In the computational basis , use from The Pauli matrices and define The phases displayed in these matrices are exact; they are not identified modulo a scalar when the matrices are later placed under a control.
For real and a real unit vector , define the axis rotation Here and have the meanings fixed in Bloch coordinate maps. For a bounded endomorphism of , the notation means the operator-norm series of The exponential series of a bounded operator at scalar parameter . Its convergence applies here because is finite-dimensional and complete and every linear endomorphism of is bounded (Every finite-dimensional normed space is Banach, A linear map from a finite-dimensional normed space is bounded).
The unitary identities for the fixed matrices are verified below. The following theorem proves the closed form and unitarity of each .
Facts & Assumptions
Given: The ordered qubit basis, the Pauli matrices, real , and real with .
The Pauli matrices: are the explicit matrices in the ordered basis .
In orthonormal bases, the matrix of the adjoint is the conjugate transpose of the matrix: the matrix of an adjoint in an orthonormal basis is the conjugate transpose.
Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces: a unitary operator on a complex inner-product space is an invertible linear isometry from the space to itself.
For an endomorphism in finite dimension, preserving lengths, preserving inner products, carrying orthonormal bases to orthonormal bases, and are equivalent: in finite dimension, implies that is an invertible isometry and hence unitary.
, , and : for real , .
Every finite-dimensional normed space is Banach and A linear map from a finite-dimensional normed space is bounded: is Banach and every endomorphism of is bounded.
The exponential series of a bounded operator: for a bounded endomorphism on a Banach space, converges absolutely in operator norm and is the value of its exponential at parameter .
The Definition above fixes , , and .
Verification
By [F1] and [F2], , , and . Multiplying the displayed matrices gives , , and . By [F4] each fixed Pauli matrix is unitary in the sense of [F3].
By [L1] and [F2], the displayed matrix for is self-adjoint, and direct multiplication gives . Thus is unitary by [F4] and [F3].
From [L1], , so . Also by [F5]. Hence are unitary by [F4] and [F3].
For and as in the Given clause, is a linear endomorphism of . By [F6], is Banach and is bounded, so [F7] makes the series defining converge absolutely in operator norm. Thus is well-defined as a matrix.
Remarks
The proof of unitarity is separate from this definition's series-convergence verification and appears in Pauli formula for an axis rotation ↗. No choice principle or physical spin model is used.
Existence and uniqueness of Bloch coordinates
Statement
For every , the matrix of Bloch coordinate maps is Hermitian with trace one. Conversely, every Hermitian trace-one matrix has a unique vector such that For a qubit density operator this vector is exactly , the coordinate map of Bloch coordinate maps. In particular all three trace coordinates of every density operator are real.
Facts & Assumptions
Given: The ordered basis of , a vector , a Hermitian trace-one matrix , and the definitions in Bloch coordinate maps.
Qubit spaces and states: with ordered computational basis .
The computational basis is orthonormal: the computational basis is orthonormal.
Self-adjoint and normal endomorphisms of a finite-dimensional real or complex inner product space: Hermitian means self-adjoint, so .
In orthonormal bases, the matrix of the adjoint is the conjugate transpose of the matrix: in an orthonormal basis the matrix of the adjoint is the conjugate transpose.
Density operator and Non-negative and positive operators: a density operator has trace one and is non-negative; non-negative means self-adjoint with nonnegative quadratic form.
The Pauli matrices: have the displayed matrices in the ordered computational basis.
Bloch coordinate maps: and .
The trace as the sum of the diagonal entries: trace is the sum of the diagonal entries.
Proof
For arbitrary real , the matrices in [F6] give . Its diagonal entries are real, its lower-left entry is the conjugate of the upper-right, and its trace is , so it is Hermitian trace one.
Write the arbitrary Hermitian trace-one matrix with : [F2] makes the computational basis orthonormal, and [F3]–[F4] give the conjugate-transpose matrix criterion for , so its diagonal entries are real and its lower-left entry is the conjugate of the upper-right; trace one fixes the second diagonal entry. Put , , and , which are real. The matrices in [F6] and formula in [F8] give . This proves existence.
For the entries of step 1.2, direct multiplication using [F6] and summing diagonal entries by [F9] gives , , and . If for another real vector , [F7] applied to [F8] gives for each , so and uniqueness follows. When is a density operator, [F5] makes it Hermitian and trace one, and [F8] identifies these same real trace coordinates with the map .
Pauli formula for an axis rotation
Statement
For and with , put . Then and is unitary. For the endpoint , it equals .
Facts & Assumptions
Given: A real , a real unit vector , and with the ordered computational basis.
Qubit spaces and states: is the finite-dimensional qubit inner-product space.
Exact one-qubit gates and rotations: is the operator-norm series exponential of .
Pauli matrix algebra and trace identities: the Pauli matrices are Hermitian and satisfy .
Sine and cosine defined by their real power series: and for real .
The exponential series of a bounded operator: for a bounded endomorphism on a Banach space, converges absolutely in operator norm.
For an endomorphism in finite dimension, preserving lengths, preserving inner products, carrying orthonormal bases to orthonormal bases, and are equivalent: for a finite-dimensional endomorphism, implies that is unitary.
Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces: a unitary operator on a complex inner-product space is an invertible linear isometry from the space to itself.
Every finite-dimensional normed space is Banach: every finite-dimensional normed space, including , is Banach.
A linear map from a finite-dimensional normed space is bounded: every linear endomorphism of the finite-dimensional normed space is bounded.
Proof
By [F3], . Also , since the are real and every is Hermitian.
Let . By [F1], is finite-dimensional; [F9] makes it Banach and [F10] makes bounded, so [F6] makes absolutely convergent. From [step 1.1], induction gives and . Grouping its even and odd terms is valid by absolute convergence; [F4] identifies the two scalar series as and . Thus . When , this is .
Since , the adjoint of the displayed formula is . Multiplying this by and using from step 1.1 gives by [F5]. Hence [F7] makes unitary in the sense of [F8].
Hadamard conjugation of the Pauli matrices
Statement
For as defined in Exact one-qubit gates and rotations, Moreover, if and , then , , and are the and eigenvectors of , respectively. Thus sends the computational basis to the -eigenbasis.
Facts & Assumptions
Given: The ordered computational basis and the matrices .
The Pauli matrices: , , and .
Pauli matrix algebra and trace identities: have the products displayed in the Pauli multiplication table.
The computational basis is orthonormal: the computational basis is orthonormal.
Proof
Using [F1] and [F2], direct multiplication gives , , and . The products agree with the Pauli multiplication table in [F3], including the negative sign.
The first column of in [F1] gives , and its second gives . By [F2], and . Expanding with [F4] gives , , and . Thus these vectors form the -eigenbasis.
The Bloch ball is exactly the qubit density-state space
Statement
For every , from Bloch coordinate maps is a qubit density operator if and only if . Its eigenvalues, counted with multiplicity, are The Bloch ball is ; its boundary is the Bloch sphere.
Facts & Assumptions
Given: , , and the ordered qubit basis.
Bloch coordinate maps: , , and .
Existence and uniqueness of Bloch coordinates: every is Hermitian with trace one.
Pauli matrix algebra and trace identities: each Pauli matrix is Hermitian, , and .
The Pauli matrices: have the displayed matrices in the ordered computational basis.
Density operator: a density operator is a non-negative endomorphism with trace one.
Non-negative and positive operators: non-negative means self-adjoint with nonnegative quadratic form on every vector.
A non-negative operator is equivalently self-adjoint with nonnegative eigenvalues, a positive semidefinite matrix in an orthonormal basis, or an operator of the form S^*S: a self-adjoint operator is non-negative exactly when every eigenvalue is a nonnegative real number.
Proof
Put and . By [F3], and . Using the displayed matrices in [F4], , so and . Thus its characteristic polynomial is . If , its two eigenvalues are and ; if , . Therefore has eigenvalues and , both at the zero vector.
Since [F2] gives trace one, [F5]–[F7] show that is a density operator exactly when both eigenvalues are nonnegative. The eigenvalue is always positive; exactly when . At the zero eigenvalue is allowed by non-negativity; at both eigenvalues are . Hence the condition is precisely .
Purity is the boundary of the Bloch ball
Statement
If is a qubit density operator and is its unique Bloch vector, then The state is pure, meaning it is the projector of a pure-state ray, if and only if .
Facts & Assumptions
Given: A density operator on and its Bloch vector .
Density operator: is non-negative and has trace one.
A non-negative operator is equivalently self-adjoint with nonnegative eigenvalues, a positive semidefinite matrix in an orthonormal basis, or an operator of the form S^*S: a non-negative operator has an orthonormal eigenbasis with nonnegative real eigenvalues.
Pauli matrix algebra and trace identities: , , , and .
The Bloch ball is exactly the qubit density-state space: the eigenvalues of are and are nonnegative.
Ray-to-projector is well-defined and bijective: pure-state rays correspond bijectively to rank-one orthogonal projections, and every ray projector is non-negative with trace one.
Pure state and ray: a pure state is a ray represented by its unit vector's rank-one projector.
Proof
Let . From [F3] and [F4], , because by the Pauli anticommutation relation in [F4].
Let be the eigenvalues from [F5]. They are nonnegative and sum to one by [F1]. Then exactly when , equivalently the eigenvalue pair is . By [F2], has an orthonormal eigenbasis; in this case it is the orthogonal projection onto its one-dimensional -eigenspace, so surjectivity in [F6] makes it the projector of a pure-state ray. Conversely, if is pure, [F7] gives a unit representative with , and [F6] makes an orthogonal projection, so . By [F1], , hence . Thus purity is equivalent to ; step 1.1 makes this equivalent to .
5 · Examples, counterexamples and false statements
None yet.