Two matched-filter algorithms for neutral-atom qubit readout reduce measurement errors by 32-43% versus Gaussian thresholds and use 100x fewer parameters than CNNs while remaining scalable.
Efficient and scalable architectures for multi-level superconducting qubit readout
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Reservoir computing using polynomial features from measurement signals achieves up to 50% error reduction on single-qubit and 11% on five-qubit datasets with 100x fewer multiplications than neural networks while reducing crosstalk.
Review synthesizing crosstalk mechanisms, mitigation strategies, and security vulnerabilities across major quantum computing platforms from existing literature.
citing papers explorer
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Efficient measurement of neutral-atom qubits with matched filters
Two matched-filter algorithms for neutral-atom qubit readout reduce measurement errors by 32-43% versus Gaussian thresholds and use 100x fewer parameters than CNNs while remaining scalable.
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Superconducting Qubit Readout Using Next-Generation Reservoir Computing
Reservoir computing using polynomial features from measurement signals achieves up to 50% error reduction on single-qubit and 11% on five-qubit datasets with 100x fewer multiplications than neural networks while reducing crosstalk.
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Crosstalk In Contemporary Quantum Devices
Review synthesizing crosstalk mechanisms, mitigation strategies, and security vulnerabilities across major quantum computing platforms from existing literature.
- MCMit: Hardware-Software Co-Design for Mid-Circuit Measurement Error Mitigation