REVIEW 2 cited by
Understanding Stabilizer Codes Under Local Decoherence Through a General Statistical Mechanics Mapping
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
abstract
We consider the problem of a generic stabilizer Hamiltonian under local, incoherent Pauli errors. Using two different approaches -- (i) Haah's polynomial formalism arXiv:1204.1063 and (ii) the homological perspective on CSS codes -- we construct a mapping from the $n$th moment of the decohered ground state density matrix to a classical statistical mechanics model. We demonstrate that various measures of information capacity -- (i) quantum relative entropy, (ii) coherent information, and (iii) entanglement negativity -- map to thermodynamic quantities in the statistical mechanics model and can be used to characterize the decoding phase transition. As examples, we analyze the 3D toric code and X-cube model, deriving bounds on their optimal decoding thresholds and gaining insight into their information properties under decoherence. Additionally, we demonstrate that the SM mapping acts an an "ungauging" map; the classical models that describe a given code under decoherence also can be gauged to obtain the same code. Finally, we comment on correlated errors and non-CSS stabilizer codes.
Forward citations
Cited by 2 Pith papers
-
Duality constrains optimal thresholds in quantum error correction
Zero-rate em-symmetric CSS codes are self-dual under generalized Kramers-Wannier duality, pinning their optimal code-capacity threshold (at leading order in a replica limit) to the zero-rate hashing bound p≈0.110.
-
Spectral properties and coding transitions of Haar-random quantum codes
Haar-random quantum codes lose correctability exactly at the hashing bound, and the spectral band structure predicts a higher detection threshold for postselected error correction.
Discussion (0). Continue with ORCID to comment.