Pith. sign in

REVIEW 1 cited by

Simple scheme for encoding and decoding a qubit in unknown state for various topological codes

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

arxiv 1404.2495 v2 pith:RFT4FS64 submitted 2014-04-09 quant-ph

classification quant-ph
keywords codeschemecodesnoisyqubitstatecasedecoding
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

We present a scheme for encoding and decoding an unknown state for CSS codes, based on syndrome measurements. We illustrate our method by means of Kitaev toric code, defected-lattice code, topological subsystem code and Haah 3D code. The protocol is local whenever in a given code the crossings between the logical operators consist of next neighbour pairs, which holds for the above codes. For subsystem code we also present scheme in a noisy case, where we allow for bit and phase-flip errors on qubits as well as state preparation and syndrome measurement errors. Similar scheme can be built for two other codes. We show that the fidelity of the protected qubit in the noisy scenario in a large code size limit is of $1-\mathcal{O}(p)$, where $p$ is a probability of error on a single qubit. Regarding Haah code we provide noiseless scheme, leaving the noisy case as an open problem.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A distillation-teleportation protocol for fault-tolerant QRAM

    quant-ph 2025-05 accept novelty 8.0 of 10

    An adaptive distillation-teleportation protocol implements a fault-tolerant QRAM query with poly(n) quantum resources and 1/poly(n) device fidelity, at the cost of an exponential classical dataset update each round.

Pith tools