Experimental runs on a superconducting quantum processor demonstrate that 20-qubit quantum neural networks are more resistant to adversarial attacks than classical networks, with adversarial training further improving robustness and empirical bounds closely matching theory.
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Symmetrically coupled dispersive readout achieves 384 ns single-shot erasure detection on dual-rail qubits with 6.0(2)×10^{-4} residual error per check and enables parallel erasure checks during single-qubit gates with median 7.2×10^{-5} error per gate.
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Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor
Experimental runs on a superconducting quantum processor demonstrate that 20-qubit quantum neural networks are more resistant to adversarial attacks than classical networks, with adversarial training further improving robustness and empirical bounds closely matching theory.
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Fast, High-Fidelity Erasure Detection of Dual-Rail Qubits with Symmetrically Coupled Readout
Symmetrically coupled dispersive readout achieves 384 ns single-shot erasure detection on dual-rail qubits with 6.0(2)×10^{-4} residual error per check and enables parallel erasure checks during single-qubit gates with median 7.2×10^{-5} error per gate.