Kavli Affiliate: David A. Muller | First 5 Authors: Sarvesh Chaudhari, Sarvesh Chaudhari, , , | Summary: Surface oxides are associated with two-level systems (TLSs) that degrade the performance of niobium-based superconducting quantum computing devices. To address this, we introduce a predictive framework for selecting metal capping layers that inhibit niobium oxide formation. Using DFT-calculated […]
Continue.. Active-Learning Inspired $textitAb Initio$ Theory-Experiment Loop Approach for Management of Material Defects: Application to Superconducting Qubits