3 papers
quant-ph2026
Scaling Alternating-Bias-Assisted Annealing for Precision Transmon Frequency Targeting on Superconducting Quantum Processors
Xiqiao Wang, Mark Field, Teng Zhang +18
Recent advances in the alternating-bias-assisted annealing (ABAA) technique have successfully mitigated intrinsic Josephson-junction (JJ) fabrication variations. This new technique…
quant-ph2026
Automating detection of Two-Level Systems in Superconducting Qubits
Rama Khalil, Cameron J. Kopas, Avinash Pathapati +9
Microscopic two-level system (TLS) defects remain a primary mechanism of decoherence and operational instability in superconducting transmon qubits, necessitating scalable and auto…
quant-ph2024
Precision frequency tuning of tunable transmon qubits using alternating-bias assisted annealing
Xiqiao Wang, Joel Howard, Eyob A. Sete +13
Superconducting quantum processors are one of the leading platforms for realizing scalable fault-tolerant quantum computation (FTQC). The recent demonstration of post-fabrication t…