Large k-Connected Set Gives Balanced Cut Rank¶
Claim/Theorem¶
Let \(C\) be a binary linear code on coordinate set \(E\), and let \(Z\subseteq E\) be a \(k\)-connected set in the sense that for every \(A\subseteq E\),
Then for any cut \(L\subseteq E\) that is \(\varepsilon\)-balanced on \(Z\), meaning
for some \(0<\varepsilon\le 1/2\), one has
Equivalently, for a stabilizer space \(\mathcal S\) represented by a full-row-rank matrix with kernel code \(C\),
Therefore, if the relevant parity-check matroid contains a \(k\)-connected set with
then every cut that is balanced on \(Z\) already has
Combining this with [[stabilizer-cut-rank-functional.md]] yields
for any hardware family whose bottleneck cut is balanced on \(Z\).
So a linear-size, linearly connected set in the parity-check matroid is already sufficient to recover the desired cut-based lower bound.
Dependencies¶
- [[cross-cut-stabilizer-rank-rank-formula.md]]
- [[stabilizer-cut-rank-functional.md]]
- [[tangle-breadth-gives-k-connected-set.md]]
Conflicts/Gaps¶
- This is a reduction, not a source theorem about Quantum Tanner codes.
- It requires cuts that are balanced on the highly connected set \(Z\), not merely balanced on the full hardware vertex set.
- The missing step is now isolated very sharply: prove the existence of a linear-size, linearly connected set in the relevant parity-check matroid, or prove that hardware-balanced cuts must also be balanced on such a set.
Sources¶
10.37236/1246710.48550/arXiv.2109.1459910.48550/arXiv.0805.2199