Automated Spin Readout Signal Analysis Using U-Net with Variable-Length Traces and Experimental Noise

Single-shot spin-state discrimination is essential for semiconductor spin qubits, but conventional threshold-based analysis of spin readout traces becomes unreliable under noisy conditions. Although recent neural-network-based methods improve robustness against experimental noise, they are sensitive