How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Toric Code Anyons, Logical Operators, and Protection — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Algebraic Extensions, Extension Degree, and Finite Fields
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Classical and Quantum Error-Correcting Codes
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- 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
- 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 Averaging and Character-Theory Prerequisites
- 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
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- 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 Algebra Methods in Combinatorics
- 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
- Pauli and Clifford Groups, Binary Symplectic Tableaux
- 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
- 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
- Stabilizer and CSS Codes, Syndromes, and Procedures
- Stabilizer Circuits and Gottesman–Knill Simulation
- Strongly Continuous Semigroups and Hille Yosida
- Suprema and Infima
- 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 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
- Toric Code Anyons, Logical Operators, and Protection
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The periodic square fundamental domain
The picture shows a fundamental square for the periodic cellulation. Opposite boundary vertices and edge segments with matching transverse index are identified. Indices are read modulo ; the exact vertex, edge and face incidences are given by Periodic square cellulation of the torus. The endpoint notation in that definition specifies each edge, while chains and check supports use coefficients in and hence do not depend on orientation.
\begin{tikzpicture}[scale=0.78, every node/.style={font=\small}]
\draw[gray!65] (0,0) grid (3,3);
\foreach \i in {0,1,2,3} {
\foreach \j in {0,1,2,3} {
\fill (\i,\j) circle (1.5pt);
}
}
\node[below left] at (0,0) {$q_{0,0}$};
\node[above right] at (3,3) {$q_{0,0}$};
\node[below] at (1.5,0) {$h_{i,0}$};
\node[left] at (0,1.5) {$v_{0,j}$};
\draw[->,thick,blue] (-0.20,3.38) -- (3.20,3.38)
node[midway,above] {identify left/right, same $j$};
\draw[->,thick,red] (3.43,-0.18) -- (3.43,3.18)
node[midway,right,align=left] {identify bottom/top,\ same $i$};
\node[below] at (1.5,-0.50) {$i=0,1,2$};
\node[rotate=90] at (-0.55,1.5) {$j=0,1,2$};
\end{tikzpicture}
The two arrows show the quotient identifications only; they are not extra edges. The four corner vertices represent one torus vertex after the paired identifications. The example below lists all eighteen edge qubits and checks the length-three logical loop directly, so no proof depends on the drawing.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
L=3 torus checks and syndrome calculation
Example
Take , with all indices in . The edge qubits are the eighteen distinct labels There are eighteen checks , given by the star and plaquette formulas in Toric star and plaquette checks. The displayed horizontal primal loop is .
Facts & Assumptions
Given: The periodic cellulation and the toric check, code-space, string-syndrome, and Hamiltonian conventions.
Periodic square cellulation of the torus: each edge label is distinct modulo , and the incidence formulas use indices in .
Toric star and plaquette checks: is X on the four edges at and is Z on the four boundary edges of .
Toric checks commute and have two global relations: all checks commute, and the products of all stars and of all plaquettes are each .
Toric incidence maps have exactly one relation each: each check type has rank and only its total relation.
The periodic toric code encodes two qubits: the code has physical qubits, check rank , and dimension .
Noncontractible toric logical loops: is a nontrivial logical Pauli supported on for .
Open toric strings have endpoint syndromes: an edge-simple open primal Z trail or dual X trail has the respective defects at exactly its two endpoints; a closed one has no defects.
Exact finite-volume toric-code gap: for couplings , the exact gap is and the ground energy is .
Finite toric-code Hamiltonian: for the Hamiltonian is .
Toric checks decompose into joint syndrome eigenspaces: every nonzero syndrome sector has an even number of e defects and an even number of m defects.
Toric e and m syndromes: e and m defects are respectively negative star and plaquette eigenvalues.
Verification
There are horizontal and nine vertical edge labels; they are disjoint by [F1], so there are qubits. Likewise there are nine stars and nine plaquettes, hence checks in the displayed list.
Every edge occurs in two stars, so the product of all nine stars is ; every edge also occurs in two plaquettes, so their total product is , as [F3] records. By [F4], deleting and leaves independent checks, with no other relation. Thus [F5] gives a four-dimensional code space.
The three edges form a closed horizontal primal loop. Applying first gives e defects at and . Applying next leaves only the two endpoints and . Applying closes the trail, leaving no defects. These are precisely the endpoint and closed-trail cases of [F7]; [F6] says the final loop is logically nontrivial.
For a joint sector with negative stars and negative plaquettes, [F9] gives energy , using [F11] to count the negative signs. By [F10], any nonzero excited sector has or , so it lies at least above the code. A one-edge Z string attains and a one-edge X string attains ; hence the smaller value is attained, in agreement with [F8].
Planar and periodic surface-code distances differ
Statement
At linear size three, the square planar surface code has asymmetric Z and X distances and , whereas the periodic toric code has distance for both logical species and encodes two qubits. Thus the planar surface-code calculation cannot be used as the periodic torus calculation.
Facts & Assumptions
Given: The relative square-patch convention and the periodic toric-code convention, both with linear size three.
Square planar surface code: the planar patch has left and right rough boundaries; its physical qubits and checks use relative boundary maps, not periodic incidence.
Square planar surface-code distance and path count: for a planar patch, the code encodes one qubit, has Z distance , and has X distance .
Toric code distance is L: the periodic toric code has distance for both primal and dual nontrivial cycles.
The periodic toric code encodes two qubits: the periodic toric code encodes two qubits.
Noncontractible toric logical loops: the periodic code has nontrivial primal Z and dual X loop representatives, each supported on edges.
Counterexample
Set . By [F2], the planar code has Z distance and X distance , and encodes one qubit. For the toric code, [F3] gives the lower bound for every nontrivial logical Pauli, while [F5] supplies a nontrivial three-edge representative of each pure species. Thus both species have distance ; [F4] gives code dimension four. The distance profiles and code dimensions differ at the same linear size.
The reason is already present in the hypotheses: [F1] uses relative boundary maps and rough edges, while [F3] uses periodic incidence on a closed torus. Therefore planar boundary paths and their asymmetric distance theorem do not establish torus winding classes, check relations, or toric distance. The distinction is a finite combinatorial one and does not require a physical interpretation.