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arXiv Machine Learning By Daniel Gaytan-Villarreal, Peter Meiring, Daniel Baxter, Daniel Bowring, Grace Bratrud, Matteo Cremonesi, Giuseppe Di Guglielmo, Grace Wagner, Bowen Xiao

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network

Read the original on arXiv Machine Learning →

arXiv:2607. 14293v1 Announce Type: cross Abstract: Ionizing radiation from cosmic rays and gammas can induce discontinuous jumps in the environmental charge of superconducting qubits (charge jumps), causing correlated errors that challenge fault-tolerant quantum computing while simultaneously providing a detection signature for quantum sensing applications.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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