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Correlated Charge Noise and Relaxation Errors in Superconducting Qubits

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arxiv 2012.06029 v2 pith:OL3OEVYG submitted 2020-12-10 quant-ph cond-mat.mes-hall

Correlated Charge Noise and Relaxation Errors in Superconducting Qubits

classification quant-ph cond-mat.mes-hall
keywords correlatederrorerrorsquantumqubitchargequbitsarrays
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The central challenge in building a quantum computer is error correction. Unlike classical bits, which are susceptible to only one type of error, quantum bits ("qubits") are susceptible to two types of error, corresponding to flips of the qubit state about the $X$- and $Z$-directions. While the Heisenberg Uncertainty Principle precludes simultaneous monitoring of $X$- and $Z$-flips on a single qubit, it is possible to encode quantum information in large arrays of entangled qubits that enable accurate monitoring of all errors in the system, provided the error rate is low. Another crucial requirement is that errors cannot be correlated. Here, we characterize a superconducting multiqubit circuit and find that charge fluctuations are highly correlated on a length scale over 600~$\mu$m; moreover, discrete charge jumps are accompanied by a strong transient suppression of qubit energy relaxation time across the millimeter-scale chip. The resulting correlated errors are explained in terms of the charging event and phonon-mediated quasiparticle poisoning associated with absorption of gamma rays and cosmic-ray muons in the qubit substrate. Robust quantum error correction will require the development of mitigation strategies to protect multiqubit arrays from correlated errors due to particle impacts.

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Cited by 3 Pith papers

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  1. Radiopurity material assays and radiation exposure projections for superconducting qubit measurements at SNOLAB

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    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.

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

    quant-ph 2026-07 conditional novelty 6.0

    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.

  3. Measuring quasiparticle dynamics for particle impact reconstruction in a superconducting qubit chip

    quant-ph 2026-04 unverdicted novelty 6.0

    A statistical framework models quasiparticle recombination and trapping in transmon qubits after particle impacts, enabling energy reconstruction of impacts through phonon-linked correlated relaxations that match Mont...