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Branching MERA code[13]

Description

Qubit stabilizer code whose encoding circuit corresponds to a branching MERA [4] tensor network. These codes generalize quantum polar codes by reinstating the disentanglers omitted in the branching-tree tensor-network construction [2].

Protection

Numerical evidence indicates that channel polarization rapidly suppresses channels that are bad in both quadratures, allowing good performance without entanglement assistance [2].

Rate

Numerics on depolarizing and erasure channels indicate low block-error rates at rates approaching coherent information, with better finite-size behavior than quantum polar codes [2].

Encoding

Encoding uses a reversed branching-MERA CNOT circuit, with non-data inputs frozen to either \(|0\rangle\) or \(|+\rangle\) according to channel selection [2].

Decoding

Decoding can be formulated as tensor-network contraction and supports successive-cancellation-style decoding inherited from branching-MERA constructions [1,2].A symmetric decoder that jointly uses \(x\)- and \(z\)-error information remains efficiently contractible and improves finite-size performance over standard quantum polar decoding [2].

Cousins

  • Polar code— Classical versions of branching MERA codes can be thought of as extensions of polar codes [1,3].
  • Tensor-network code— Encoders for branching MERA codes are related to branching MERA tensor networks [1,2].

Primary Hierarchy

Parents
Branching MERA code
Children
Branching MERA codes generalize quantum polar codes by restoring the branching-MERA disentanglers while retaining efficient tensor-network decoding [2].

References

[1]
A. J. Ferris and D. Poulin, “Branching MERA codes: a natural extension of polar codes”, (2013) arXiv:1312.4575
[2]
A. J. Ferris and D. Poulin, “Tensor Networks and Quantum Error Correction”, Physical Review Letters 113, (2014) arXiv:1312.4578 DOI
[3]
A. J. Ferris and D. Poulin, “Branching MERA codes: A natural extension of classical and quantum polar codes”, 2014 IEEE International Symposium on Information Theory 1081 (2014) DOI
[4]
G. Evenbly and G. Vidal, “Class of Highly Entangled Many-Body States that can be Efficiently Simulated”, Physical Review Letters 112, (2014) arXiv:1210.1895 DOI
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Zoo Code ID: branching_mera

Cite as:
“Branching MERA code”, The Error Correction Zoo (V. V. Albert & P. Faist, eds.), 2024. https://errorcorrectionzoo.org/c/branching_mera
BibTeX:
@incollection{eczoo_branching_mera, title={Branching MERA code}, booktitle={The Error Correction Zoo}, year={2024}, editor={Albert, Victor V. and Faist, Philippe}, url={https://errorcorrectionzoo.org/c/branching_mera} }
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Permanent link:
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Cite as:

“Branching MERA code”, The Error Correction Zoo (V. V. Albert & P. Faist, eds.), 2024. https://errorcorrectionzoo.org/c/branching_mera

Github: https://github.com/errorcorrectionzoo/eczoo_data/edit/main/codes/quantum/qubits/eaoa/ea/ea_stabilizer/branching_mera.yml.