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Disentangling the sources of ionizing radiation in superconducting qubits
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Disentangling the sources of ionizing radiation in superconducting qubits
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Radioactivity was recently discovered as a source of decoherence and correlated errors for the real-world implementation of superconducting quantum processors. In this work, we measure levels of radioactivity present in a typical laboratory environment (from muons, neutrons, and gamma's emitted by naturally occurring radioactive isotopes) and in the most commonly used materials for the assembly and operation of state-of-the-art superconducting qubits. We develop a GEANT-4 based simulation to predict the rate of impacts and the amount of energy released in a qubit chip from each of the mentioned sources. We finally propose mitigation strategies for the operation of next-generation qubits in a radio-pure environment.
Forward citations
Cited by 2 Pith papers
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Radiopurity material assays and radiation exposure projections for superconducting qubit measurements at SNOLAB
Background Monte Carlo plus material assays predict under one millihertz per silicon qubit chip in SNOLAB's CUTE cryostat, with ~10 eV deposits able to cause correlated multi-qubit errors.
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Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network
A dilated causal CNN quantized to fixed point and synthesized to an FPGA detects charge jumps in superconducting qubits at 6.19 μs latency with 0.843 efficiency, close to the 0.866 of the offline χ2 method on |Δq|∈[0.1,0.5]e.
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