3 papers
cs.CV2026
Bias Mitigation in Face Recognition via Demographic-based Supervised Contrastive Learning
Yu Linghu, Salman Mohammad, Xinyi Zhang +1
Face recognition systems have been shown to be biased toward certain demographic groups by exhibiting different error rates across gender, age, or ethnicity. Though the imbalance o…
quant-ph2026
In situ calibration of microwave attenuation and gain using a cryogenic on-chip attenuator
Thomas Descamps, Linus Andersson, Vittorio Buccheri +3
Accurate in situ calibration of microwave attenuation and amplification-chain noise is essential for superconducting quantum circuits. We demonstrate a compact, self-calibrating cr…
quant-ph2026
Real-time detection of correlated quasiparticle tunneling events in a multi-qubit superconducting device
Simon Sundelin, Linus Andersson, Hampus Brunander +1
Quasiparticle tunneling events are a source of decoherence and correlated errors in superconducting circuits. Understanding and ultimately mitigating these errors calls for real-ti…