Quantification and characterization of leakage errors

By Christopher J. Wood, Jay M. Gambetta. 2017

177 citations recorded by the source corpus.

We present a general framework for the quantification and characterization of leakage errors that result when a quantum system is encoded in the subspace of a larger system. To do this we introduce new metrics for quantifying the coherent and incoherent properties of the resulting errors, and we illustrate this framework with several examples relevant to superconducting qubits. In particular, we propose two quantities: the leakage and seepage rates, which together with average gate fidelity allow for characterizing the average performance of quantum gates in the presence of leakage and show how the randomized benchmarking protocol can be modified to enable the robust estimation of all three quantities for a Clifford gate set.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/89df1e62c448c4839637e7364848316304ce0aa1

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In Artificial Intelligence

In Computational Theory and Mathematics

In Electrical and Electronic Engineering

Citations in the corpus

Leakage reduction in fast superconducting qubit gates via optimal control (2020, methodology): “4(b) we follow the leakage randomized benchmarking protocol outlined in [37].”
Efficient Z gates for quantum computing (2016, methodology): “In general there is a correction to the RB fit of the |0〉 data due to leakage, however, when EPG≫LPG this correction is small [17].”