Pulsed

Large-scale qubit readout in quantum computing

systems requires highly sensitive amplification with minimal

power consumption to reduce thermal load and preserve qubit

integrity. We propose a pulse-operated cryogenic low-noise am-

plifier (LNA) scheme that minimizes the influence from the LNA

on qubit operation and reduces power consumption by duty

cycling. A modified commercially available cryogenic hybrid LNA

based on InP HEMTs has been characterized to demonstrate the

feasibility of pulsed operation for qubit readout. The transient

Interference signals degrade the performance of a global navigation satellite system (GNSS) receiver. Detection and classification of these interference signals allow better situational awareness and facilitate appropriate countermeasures. However, classification is challenging and processing-intensive, especially in severe multipath environments. This dataset is the result of a proposal for a low-resource interference detection and classification approach that combines conventional statistical signal processing approaches with machine learning (ML).