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Topological Quantum Algorithms and Braid Compilation — Examples
1 · Prerequisites
- Abelian Categories
- Absolute and Conditional Convergence; Rearrangement; Products
- Adiabatic Computation and Circuit Equivalence
- Algebraic Closure, Embeddings, and Separability
- Algebraic Extensions, Extension Degree, and Finite Fields
- Approximate Universality and Solovay–Kitaev
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Boolean Circuits and Nonuniform Complexity
- Bounded Linear Operators and Quotient Spaces
- Braided and Symmetric Monoidal Categories
- Cardinal Arithmetic, Cofinality and the Alephs
- Categories, Functors and Natural Transformations
- Chains, Antichains, Sperner and Dilworth
- Character Groups and Elementary LCA Duals
- Circuit Syntax, Denotational Semantics, and Measurement
- Clifford+T Exact and Approximate Synthesis
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Coordinate and Path Transport
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Norms and Realification
- Complex Power Series and Analytic Functions
- Complex Subspace Realification
- Complexification, Realification and Real Structures
- Composition Series, the Jordan–Hölder Theorem and Solvable Groups
- Computational Problems, Promises, and Cost Models
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Connectedness
- Constant Rank, Submersions, Immersions and Regular Level Sets
- 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
- Continuous-Gate Universality and Exact Synthesis
- Controlled Gates, Phase, and Entanglement
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Covering Spaces and Lifting
- 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
- Duality and Rigidity in Monoidal Categories
- Effective Numberings, Reductions, Resources, and Randomness
- Eigenvalues, Eigenvectors and the Characteristic Polynomial
- Euclidean Ordinary Differential Equations with Smooth Dependence
- Filters and Ultrafilters
- Finite Averaging and Character-Theory Prerequisites
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Finite Probability Spaces and Random Variables
- Finite-Dimensional Complex Inner-Product Spaces and Matrix Interfaces
- Formal Languages, Encodings, and Decision Problems
- Formal Power Series
- Foundations of the Real Numbers for Analysis
- Free Groups and Presentations
- Free Modules, Exact Sequences, Projective and Injective Modules
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Group Homomorphisms and the Isomorphism Theorems
- Hereditary and Productive Behaviour of the Separation Axioms
- Hilbert Space Geometry and Riesz Representation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Lie Groups, Invariant Fields, and the Exponential Map
- Lie Subgroups, Actions, and Homogeneous Spaces
- Limits and Colimits
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Recurrences and Rational Generating Functions
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Manifolds with Boundary Collars and Orientations
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Matrix Norms, Condition Numbers and Numerical Stability
- Measurable Functions and Simple Approximation
- Measurements, POVMs, and Instruments
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modules, Submodules, Quotient Modules and the Isomorphism Theorems
- Monoidal Categories and Monoidal Functors
- 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
- Ordinal Arithmetic and the First Uncountable Ordinal
- Ordinals, Cardinals, and Transfinite Recursion
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- Picard-Lindelöf and First-Order Ordinary Differential Equations
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Preadditive and Additive Categories and Biproducts
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Pure and Mixed States, Ensembles, and Schmidt Decomposition
- Qubits, Bloch Sphere, Pauli Algebra, and One-Qubit Gates
- Rank Theorems and Embedded Submanifolds
- Reflective Subcategories and the Adjoint Functor Theorems
- Registers, Tensor Products, and Partial Trace
- Relations, Functions, and Quotients
- Resource Bounds and Machine Invariance
- Reversible Computation, Ancillas, and Coherent Oracles
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Manifolds and Smooth Maps
- Smooth Partitions of Unity and Exhaustions
- Smooth Vector Bundles and Sections
- Splitting Fields
- Strictification and Mac Lanes Coherence Theorem
- Strongly Continuous Semigroups and Hille Yosida
- Subobject Lattices Generators and the Grothendieck Axioms
- Subspaces, Products, and Quotients
- Suprema and Infima
- Sylow's Theorems, p-Groups and Nilpotent Groups
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- Tangent Cotangent and the Differential
- Tensor and Fusion Categories
- Tensor Products of Modules
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- 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 Group of the Circle
- The Fundamental Theorem of Algebra
- The Fundamental Theorem of Finite Abelian Groups
- The Fundamental Theorems of Calculus
- The Galois Correspondence
- The Group Algebra and Representations of Finite Groups
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Polynomial Hierarchy and Relativization
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Spectral Theorem, Positive Operators and Singular Value Decomposition
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Braid Gates, Encodings, and Universality
- Topological Quantum Algorithms and Braid Compilation
- Topological Spaces and Continuity
- Topology of ℝ
- Trace Distance, Fidelity, and Information Limits
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Turing Machines, Configurations, and Computation
- Uniform Circuit Families, Promise Problems, and Complexity
- Uniform Spaces: the Three Definitions
- Unitary Fusion Spaces, F/R Symbols, and Anyon Models
- Vector Fields Flows and Lie Derivatives
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Yang–Baxter Operators and Quantum Braid Representations
2 · Summary
These examples instantiate the finite fusion and braid-compilation interfaces: fusion-measurement branches, the distinction between projective equivalence and a controlled operation, a joint six-strand target search, and a symbolic compilation-error budget. They use the exact encoding, spectator action and cost conventions of the companion page.
The examples keep mathematical approximation guarantees separate from the stated physical preparation, transport and measurement inputs. In particular a global phase on a fixed sector does not automatically remain irrelevant after adding coherent control.
The Ising braid model supplies a contrasting boundary: under the stated Majorana–Ising interface, braid-only gates normalize the logical Pauli group, their projective image is finite, and for at least two encoded qubits it is not dense in the full projective unitary group (Even-Majorana Ising exchanges normalize logical Paulis). This limitation is conditional on that interface and does not change the Fibonacci compilation claims.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Fibonacci fusion measurement branches and zero outcomes
Example
In the two-dimensional Fibonacci fusion space for three anyons of total charge , use the basis labelled by the charge after fusing the first two anyons. This is the fixed convention of Fibonacci fusion data and chiral convention. For measurement of that pair's total charge yields probabilities and and conditional states and . If either coefficient is zero, its outcome has probability zero and there is no normalized conditional state for that outcome.
The circuit below is schematic: the pair enters the declared fusion-channel projective measurement, the classical outcome is the charge label, and the post-measurement quantum branch is . It records no physical measurement hardware or any unproved braid diagram rule.
Facts & Assumptions
Given: The two orthogonal Fibonacci channel basis vectors and the finite projective measurement of their pair charge.
The two basis states are the total-charge channels of the first pair in the stated Fibonacci convention. Fibonacci fusion data and chiral convention
Channel outcome probability and conditional state are given by the fusion-branch theorem. Fusion measurement branches are normalized exactly when nonzero
Verification
The coefficients have squared moduli and , whose sum is one. The channel projectors are and , so they send to the corresponding coefficient times its basis vector. Thus the probabilities are and , and after division by the coefficient magnitudes the conditional states are and by [F1]–[F2].
If the coefficient of one channel is zero, its projected vector is zero and the corresponding probability is zero. The branch-validity theorem says that this case has no normalized conditional state. If the surviving channel is with coefficient , normalization gives , so its conditional vector is , representing the same pure state as . This checks both zero-coefficient boundary cases without fixing a global phase.
A discarded global phase changes a controlled computation
Statement
On one target qubit, and differ only by a global phase and induce the same standalone ray and outcome probabilities. Controlled access changes the comparison. With control first, On input , these give and . Measuring the control in the basis is respectively deterministic for and , so the total-variation distance is one. Thus projective equivalence of an isolated braid gate is not interchangeable with equality under coherent control.
Diagram
The diagram uses a filled control dot on the upper wire and the scalar phase on the lower target branch. The final measurement reads the relative phase on the control. It is a circuit convention only; the matrix calculation below proves the claim.
Facts & Assumptions
Given: A single control qubit, a target qubit, and the two phase-related target gates and .
Standalone global phase does not change ray probabilities, while a controlled global phase becomes relative. Standalone and controlled phase accounting for a fixed-sector braid
The controlled-phase supplier states the control-target relative-phase effect. A Controlled Global Phase Becomes a Relative Control Phase
Proof
Both and send every target vector to the same ray, since the outputs differ by scalar ; hence their standalone outcome probabilities coincide by [F1]. In the ordered control basis , the controlled block matrix is .
Applying this matrix to gives , whereas controlled leaves the input unchanged. The -basis outcome laws are point masses on opposite outcomes, so their total-variation distance is . This is the relative-phase effect in [F2].
Identity target in the two B6 charge blocks
Example
Take the logical two-qubit target . Its determinant is one, so the special-unitary extensions are and . The empty six-strand braid has normalized block matrices and exponent sum zero. It therefore certifies exact zero block error, zero logical error and zero leakage; its physical common phase is . This is the identity boundary case of the shared-word B6 interface.
Facts & Assumptions
Given: The empty Artin word, the Fibonacci normalized block convention, and the six-anyon code embeddings.
The encoded two-qubit theorem uses determinant-corrected targets and bounds the code error and leakage by the block error. One B6 braid approximates an encoded two-qubit gate
The determinant-character phase for exponent sum is . The braid phase is a common scalar character
Verification
Since , both determinant-corrected extensions in [F1] are identity matrices; their determinants are one and their code restrictions are .
The empty word acts as the identity in each block and has exponent sum zero, so both operator differences vanish. It fixes every code vector, hence its restriction to the code is exactly and its projection from the code to the orthogonal leakage complement is zero. Thus the logical error and leakage are zero directly, while [F2] gives physical phase .
Fibonacci SK level and symbolic gate budget
Example
Take the fixed SK recurrence with and requested tolerance . This is a symbolic certificate example: the finite base-net list and its maximum length are supplied compiler data, not computed here. The exact recurrence gives and output length at most . For a finite QSD factor list of size on qubits, use a triple code with nonzero spectator space and assume as in Arbitrary-size triple-encoded projective braid approximation. Allocate each factor ; then the sum of the factor errors is at most , relative to the recorded product phase. The two-qubit B6 search, measurement outcomes, preparation and ancilla use, Hamiltonian evolution, and phase correction are separate ledger coordinates. The supplied base-net certificate is fixed input data counted in ; this example does not compute it. No B6 search-length bound follows from the SK calculation.
Facts & Assumptions
Given: The SK recurrence and length estimate, the compiler cost ledger, and a finite exact QSD factor list on an admissible triple code; assume for the existence of the compiled factors.
The error recurrence and word-length estimate are and . Fibonacci SU(2) compiler error, length, and bit cost
The per-operation costs are separate coordinates; an absent bound is not zero. Anyon compiler resource ledger
The exact QSD supplies a finite factorization into one-qubit gates and CNOTs. Exact QSD CNOT Upper Bound
Operator error in a finite product of unitary factors is bounded by the sum of factor errors. Operator error adds under finite unitary products
Under , every logical -qubit unitary on the triple code has a physical categorical braid approximation, with logical block error and leakage amplitude each at most any prescribed positive tolerance, relative to a recorded unit scalar. Arbitrary-size triple-encoded projective braid approximation
Verification
Compute , while . Therefore is the least level meeting the tolerance, and [F1] gives .
Write the QSD factors from [F3] as , acting on the full logical register. Let be the code isometry and . For each factor, apply [F5] with tolerance to obtain a unitary braid operator and a unit scalar . Put . The code and leakage components of each have norm at most : they are and . Their sum therefore has norm at most .
The telescoping expansion underlying [F4] applies with the isometry inserted: Every outer factor is unitary, so step 1.2 and the triangle inequality bound its norm by . This also bounds logical error and leakage, since compression and orthogonal projection do not increase norm; the target product carries the recorded phase . The minimum defining gives , including equality of its two candidates. By [F2], SK length, B6 search work, measurement and phase correction remain separate costs. The supplied and the numerical level calculation give no B6 length bound.
Sources
- John Preskill, Lecture Notes for Physics 219: Quantum Computation, Chapter 9: Topological Quantum Computation
- Chetan Nayak, Steven H. Simon, Ady Stern, Michael Freedman, and Sankar Das Sarma, Non-Abelian Anyons and Topological Quantum Computation
- Michael H. Freedman, Michael J. Larsen, and Zhenghan Wang, A Modular Functor Which Is Universal for Quantum Computation
- Christopher M. Dawson and Michael A. Nielsen, The Solovay–Kitaev Algorithm
- Vivek V. Shende, Stephen S. Bullock, and Igor L. Markov, Synthesis of Quantum Logic Circuits
- Ronald de Wolf, Quantum Computing: Lecture Notes