How statement and proof provenance work
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
CSS encoding dimension and commutation
Statement
Let , , and . The coset vectors from CSS code from nested binary codes define an isometric encoding of logical qubits. For every and , and commute, and each fixes every encoded coset vector. Their common eigenspace is exactly this encoding. The conclusion requires only ; it does not require .
Moreover, for every , the Hadamard transform is
The phase is independent of the representatives and .
Facts & Assumptions
Given: A nested pair , the ordered computational basis, and the Pauli operators .
CSS code from nested binary codes: each coset vector is , with labels in .
Bilinear dual of a finite-field linear code: is defined by the standard bilinear dot product on binary coordinate vectors.
Dimension of the binary dual code: for every binary linear code .
The computational basis is orthonormal: distinct computational basis vectors are orthogonal unit vectors.
The Pauli matrices: and for .
Pauli commutator is symplectic pairing: Pauli operators commute exactly when their binary labels have symplectic pairing zero.
Exact one-qubit gates and rotations: the Hadamard matrix is .
Stabilizer code space: the stabilizer code space is the common eigenspace of all checks.
Stabilizer projector and code dimension: a stabilizer generated by independent commuting Hermitian checks has common eigenspace of dimension , provided is not in the generated group.
Proof
There are distinct basis vectors in each coset sum. By [F4], its squared norm is . Distinct cosets have disjoint supports, so their vectors are orthogonal. By [F1] there are such vectors, giving an orthonormal basis indexed by a -bit logical register.
By [F5], for , sends to . Translation permutes , so fixes the whole coset sum. For , each and therefore ; the diagonal operator fixes every term. Thus both check families fix every encoded basis state and hence their linear span.
The binary labels of and are and . Their symplectic pairing is . Since and , this dot product is zero by [F2].
On a computational basis vector , multiplying the one-bit Hadamard formulas from [F7] gives . Substituting the coset definition [F1] yields . For , the inner sum is . Otherwise choose with ; translation pairs terms with opposite signs, so the sum is zero.
Choose independent bases of and . Their separate - and -type labels are independent: a zero combined label has both binary halves zero. By [F3] the combined number is . This includes .
The checks are commuting Hermitian Paulis by steps 1.3 and [F5]. They fix the nonzero encoding from step 1.2, so their generated group cannot contain . Step 2.1 gives independent checks; [F9] therefore gives their common eigenspace dimension . By step 1.1 the encoding has dimension , and step 1.2 says it lies in that eigenspace. Equal finite dimensions force equality: the CSS encoding is exactly the stabilizer code space [F8].
The transformed vector is supported exactly on , with constant magnitude on that set. Since , the phase is constant on each coset of in . Grouping terms by those cosets gives . The coefficient is because by [F3]. This is the dual coset basis Fourier transform; the pairing is independent of representatives since and .
Depends on
- Finite-dimensional vector space, and its dimension $\dim_F V$; infinite-dimensional means having no finite basis
- Binary Pauli label and quotient
- Binary symplectic form
- CSS code from nested binary codes
- Bilinear dual of a finite-field linear code
- Exact one-qubit gates and rotations
- The Pauli matrices
- Phase aware n qubit pauli group
- Finite registers and their ordered computational bases
- Stabilizer code space
- Dimension of the binary dual code
- If $\dim_F V = n$ and $U$ is a linear subspace of $V$, then $U$ is finite-dimensional, $\dim_F U \le n$, and $\dim_F U = n$ if and only if $U = V$
- The computational basis is orthonormal
- Pauli commutator is symplectic pairing
- Stabilizer projector and code dimension
Used by
Dependency tree · two levels
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Sources
- Richard Cleve, Quantum Information Processing course notes, §§37.1–37.3 (standard reference, not scraped)
- John Preskill, Quantum Computation, Chapter 7: Quantum Error Correction (standard reference, not scraped)