Scaling ABAA for precision JJ tuning on superconducting quantum processors
ORAL
Abstract
Quantum processors based on superconducting qubits made with Josephson junctions represent one of the leading platforms for realizing scalable fault-tolerant quantum computation (FTQC). As the processors scale beyond hundreds of qubits in tileable/modular architectures, precision frequency targeting of large arrays of superconducting qubits becomes critical to avoiding frequency collisions and maintaining high qubit coherence during fast gate operations. Recent demonstration of precision Josephson junction tuning and frequency targeting using alternating-bias assisted annealing (ABAA) paves a promising path toward this goal. Here, we demonstrate integration and scaling of the ABAA technique for realizing the designed Hamiltonian in quantum processors crossing 100-qubit count with high median 2Q fidelity. We summarize recent advances in exploring the parameter space of the ABAA process, and present materials and electrical characterizations in the context of precision, yield, and throughput optimization.
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Publication: Wang, Xiqiao, et al. "Precision frequency tuning of tunable transmon qubits using alternating-bias assisted annealing." 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. IEEE, 2024.
Presenters
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Xiqiao Wang
- Rigetti Computing