Alphabeta Math
Pipeline-generated
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.

Topological Quantum Algorithms and Braid Compilation — Examples

1 · Prerequisites

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

ExampleConstruction: Literature-sourcedVerification: AI-adaptedOpen item page →

Fibonacci fusion measurement branches and zero outcomes

Example

In the two-dimensional Fibonacci fusion space for three τ anyons of total charge τ, use the basis ∣1⟩,∣τ⟩ labelled by the charge after fusing the first two anyons. This is the fixed convention of Fibonacci fusion data and chiral convention. For ∣ψ⟩=3/5 ∣1⟩+2/5 ∣τ⟩, measurement of that pair's total charge yields probabilities 3/5 and 2/5 and conditional states ∣1⟩ and ∣τ⟩. 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 Pa∣ψ⟩. It records no physical measurement hardware or any unproved braid diagram rule.

¿¿fP1;P¿gclassicalaPajÃi

Facts & Assumptions

Given: The two orthogonal Fibonacci channel basis vectors and the finite projective measurement of their pair charge.

[F1]

The two basis states are the total-charge channels of the first pair in the stated Fibonacci convention. Fibonacci fusion data and chiral convention

[F2]

Channel outcome probability and conditional state are given by the fusion-branch theorem. Fusion measurement branches are normalized exactly when nonzero

Verification

1.1F1F2givenalgebra

The coefficients have squared moduli 3/5 and 2/5, whose sum is one. The channel projectors are P1=∣1⟩⟨1∣ and Pτ=∣τ⟩⟨τ∣, so they send ∣ψ⟩ to the corresponding coefficient times its basis vector. Thus the probabilities are 3/5 and 2/5, and after division by the coefficient magnitudes the conditional states are ∣1⟩ and ∣τ⟩ by [F1]–[F2].

2.1F2step 1.1algebra∎

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 a with coefficient α, normalization gives ∣α∣=1, so its conditional vector is α∣a⟩, representing the same pure state as ∣a⟩. This checks both zero-coefficient boundary cases without fixing a global phase.

CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedOpen item page →

A discarded global phase changes a controlled computation

Statement

On one target qubit, I2 and −I2 differ only by a global phase and induce the same standalone ray and outcome probabilities. Controlled access changes the comparison. With control first, C(I2)=I4,C(−I2)=(I200−I2)=Z⊗I2. On input ∣+⟩∣0⟩, these give ∣+⟩∣0⟩ and ∣−⟩∣0⟩. Measuring the control in the X 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 −I on the lower target branch. The final X measurement reads the relative phase on the control. It is a circuit convention only; the matrix calculation below proves the claim.

j+ij0i¡IXmeas.+=¡

Facts & Assumptions

Given: A single control qubit, a target qubit, and the two phase-related target gates I2 and −I2.

[F1]

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

[F2]

The controlled-phase supplier states the control-target relative-phase effect. A Controlled Global Phase Becomes a Relative Control Phase

Proof

1.1F1givenalgebra

Both I2 and −I2 send every target vector to the same ray, since the outputs differ by scalar −1; hence their standalone outcome probabilities coincide by [F1]. In the ordered control basis ∣0⟩,∣1⟩, the controlled block matrix is diag⁡(I2,−I2)=Z⊗I2.

2.1F2step 1.1algebra∎

Applying this matrix to ∣+⟩∣0⟩=(∣0⟩+∣1⟩)∣0⟩/2 gives ∣−⟩∣0⟩, whereas controlled I2 leaves the input unchanged. The X-basis outcome laws are point masses on opposite outcomes, so their total-variation distance is 1. This is the relative-phase effect in [F2].

ExampleConstruction: Literature-sourcedVerification: AI-adaptedOpen item page →

Identity target in the two B6 charge blocks

Example

Take the logical two-qubit target U=I4. Its determinant is one, so the special-unitary extensions are T1=I5 and Tτ=I8. The empty six-strand braid has normalized block matrices I5,I8 and exponent sum zero. It therefore certifies exact zero block error, zero logical error and zero leakage; its physical common phase is R10=1. 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.

[F1]

The encoded two-qubit theorem uses determinant-corrected targets T1,Tτ and bounds the code error and leakage by the block error. One B6 braid approximates an encoded two-qubit gate

[F2]

The determinant-character phase for exponent sum k is R1k. The braid phase is a common scalar character

Verification

1.1F1givenalgebra

Since det⁡I4=1, both determinant-corrected extensions in [F1] are identity matrices; their determinants are one and their code restrictions are I4.

2.1F1F2step 1.1givenalgebra∎

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 I4 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 R10=1.

ExampleConstruction: AI-adaptedVerification: AI-adaptedOpen item page →

Fibonacci SK level and symbolic gate budget

Example

Take the fixed SK recurrence with η0=2−13 and requested tolerance ε=2−14. This is a symbolic certificate example: the finite base-net list and its maximum length L0 are supplied compiler data, not computed here. The exact recurrence gives J=2 and output length at most 25L0. For a finite QSD factor list of size M>0 on n≥1 qubits, use a triple code with nonzero spectator space and assume ACω as in Arbitrary-size triple-encoded projective braid approximation. Allocate each factor δ=min⁡{ε/(2M),η0/2}; then the sum of the factor errors is at most ε/2, 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 Lin; 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 ACω for the existence of the compiled factors.

[F1]

The error recurrence and word-length estimate are ηj+1=64ηj3/2 and Lj≤L05j. Fibonacci SU(2) compiler error, length, and bit cost

[F2]

The per-operation costs are separate coordinates; an absent bound is not zero. Anyon compiler resource ledger

[F3]

The exact QSD supplies a finite factorization into one-qubit gates and CNOTs. Exact QSD CNOT Upper Bound

[F4]

Operator error in a finite product of unitary factors is bounded by the sum of factor errors. Operator error adds under finite unitary products

[F5]

Under ACω, every logical n-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

1.1F1givenalgebra

Compute η1=64(2−13)3/2=262−39/2=2−27/2>2−14, while η2=64(2−27/2)3/2=262−81/4=2−57/4<2−14. Therefore J=2 is the least level meeting the tolerance, and [F1] gives L2≤L052=25L0.

1.2F3F5givenalgebra

Write the QSD factors from [F3] as G1,…,GM, acting on the full logical register. Let E be the code isometry and P=EE∗. For each factor, apply [F5] with tolerance δ/2 to obtain a unitary braid operator Bj and a unit scalar ωj. Put G^j=ωj(Gj⊗Ispectator). The code and leakage components of BjE−EG^j each have norm at most δ/2: they are E(E∗BjE−G^j) and (I−P)BjE. Their sum therefore has norm at most δ.

2.1F2F4step 1.1step 1.2algebra∎

The telescoping expansion underlying [F4] applies with the isometry inserted: BM⋯B1E−EG^M⋯G^1=∑j=1MBM⋯Bj+1(BjE−EG^j)G^j−1⋯G^1. Every outer factor is unitary, so step 1.2 and the triangle inequality bound its norm by Mδ. This also bounds logical error and leakage, since compression and orthogonal projection do not increase norm; the target product carries the recorded phase ∏jωj. The minimum defining δ gives Mδ≤ε/2, including equality of its two candidates. By [F2], SK length, B6 search work, measurement and phase correction remain separate costs. The supplied L0 and the numerical level calculation give no B6 length bound.

Sources