On the importance of benchmarking algorithms under realistic noise conditions
Sign Up to like & getrecommendations! Published in 2020 at "Geophysical Journal International"
DOI: 10.1093/gji/ggaa025
Abstract: Testing with synthetic data sets is a vital stage in an algorithm’s development for benchmarking the algorithm’s performance. A common addition to synthetic data sets is White, Gaussian Noise (WGN) which is used to mimic… read more here.
Keywords: algorithms realistic; data sets; realistic noise; synthetic data ... See more keywords
Fault-tolerant protection of near-term trapped-ion topological qubits under realistic noise sources
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DOI: 10.1103/physreva.100.062307
Abstract: Taking into account an increasingly realistic noise model, a low-resource toolbox of fault-tolerant quantum error detection and correction scheme is provided. By extensive numerical simulations, a thorough microscopic characterization is performed, showing that a flag-qubit-based… read more here.
Keywords: trapped ion; fault tolerant; tolerant protection; realistic noise ... See more keywords