Skip to content
aiqbench takeQuantum Computing

aiqbench analysis

Coherent errors are harder for quantum error correction than random Pauli errors because they can interfere and accumulate across rounds. This preprint proposes a protocol for characterizing the model and parameters of such noise, which could enable correlated decoding priors and better maximum-likelihood decoding. The abstract's claimed reduction in experimental complexity from 16n to O(16) is the key quantitative claim, and readers should check how it scales and holds up in experiments.
Source coveringarXiv
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Tomography for coherent noise

arXiv2 min read

arXiv:2610.19779v1 Announce Type: new Abstract: Coherent noise poses a fundamentally greater challenge to quantum error correction than independent s- tochastic Pauli errors, because unitary errors preserve interference between error paths, can accumulate over multiple quantum error correction rounds, and leave the encoded logical channel with a residual coherent com- ponent. If the parameters of such coherent noise can be accurately determined, this knowledge can be exploited to inject correlated priors into the decoding graph, and to perform maximum-likelihood decoding under poly- nomially tractable structures, significantly improving the accuracy of syndrome-based decoding. In this work, we introduce one protocol to determine the model and parameters of coherent noise, and reduce the complexity of the experiment from 16nto O(16), which is of great significance for correcting coherent noise in quantum error correction.

Abstract:Coherent noise poses a fundamentally greater challenge to quantum error correction than independent s- tochastic Pauli errors, because unitary errors preserve interference between error paths, can accumulate over multiple quantum error correction rounds, and leave the encoded logical channel with a residual coherent com- ponent. If the parameters of such coherent noise can be accurately determined, this knowledge can be exploited to inject correlated priors into the decoding graph, and to perform maximum-likelihood decoding under poly- nomially tractable structures, significantly improving the accuracy of syndrome-based decoding. In this work, we introduce one protocol to determine the model and parameters of coherent noise, and reduce the complexity of the experiment from 16nto O(16), which is of great significance for correcting coherent noise in quantum error correction.

arXiv:2610.19779 [quant-ph]

(or arXiv:2610.19779v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2610.19779 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 216 words

Related coverage