Journal article
Kaavya Sahay, Jahan Claes, S. Puri
Physical Review Letters, 2022
Physical Review Letters, 2022
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APA
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Sahay, K., Claes, J., & Puri, S. (2022). Tailoring Fusion-Based Error Correction for High Thresholds to Biased Fusion Failures. Physical Review Letters.
Chicago/Turabian
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Sahay, Kaavya, Jahan Claes, and S. Puri. “Tailoring Fusion-Based Error Correction for High Thresholds to Biased Fusion Failures.” Physical Review Letters (2022).
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Sahay, Kaavya, et al. “Tailoring Fusion-Based Error Correction for High Thresholds to Biased Fusion Failures.” Physical Review Letters, 2022.
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@article{kaavya2022a,
title = {Tailoring Fusion-Based Error Correction for High Thresholds to Biased Fusion Failures.},
year = {2022},
journal = {Physical Review Letters},
author = {Sahay, Kaavya and Claes, Jahan and Puri, S.}
}
Abstract
We introduce fault-tolerant (FT) architectures for error correction with the XZZX cluster state based on performing measurements of two-qubit Pauli operators Z⊗Z and X⊗X, or fusions, on a collection of few-body entangled resource states. Our construction is tailored to effectively correct noise that predominantly causes faulty X⊗X measurements during fusions. This feature offers a practical advantage in linear optical quantum computing with dual-rail photonic qubits, where failed fusions only erase X⊗X measurement outcomes. By applying our construction to this platform, we find a record-high threshold to fusion failures exceeding 25% in the experimentally relevant regime of nonzero loss rate per photon, considerably simplifying hardware requirements.
