14 papers
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…
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…
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…
Overhead in Quantum Circuits with Time-Multiplexed Qubit Control
Marvin Richter, Ingrid Strandberg, Simone Gasparinetti +1
When scaling up quantum processors in a cryogenic environment, it is desirable to limit the number of qubit drive lines going into the cryostat, since fewer lines makes cooling of…
Effective Hamiltonian for an off-resonantly driven qubit-cavity system
Martin Jirlow, Kunal Helambe, Axel M. Eriksson +2
Accurate modeling of driven light-matter interactions is essential for quantum technologies, where natural and synthetic atoms are used to store and process quantum information, me…
Automated, physics-guided, multi-parameter design optimization for superconducting quantum devices
Axel M. Eriksson, Lukas J. Splitthoff, Harsh Vardhan Upadhyay +5
The design of nonlinear superconducting quantum circuits often relies on time-consuming iterative electromagnetic simulations requiring manual intervention. These interventions ent…