科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Applied Physics Reviews2026-06-01· Transmon

Identifying materials-level sources of performance variation in superconducting transmon qubits

Akshay A. Murthy, Mustafa Bal, Michael J. Bedzyk, Hilal Cansizoglu, R. K. Chan, Venkat Chandrasekhar, Francesco Crisa, Amlan Datta, Yanpei Deng, Celeo D. Matute Diaz, Vinayak P. Dravid, David A. Garcia‐Wetten, Sabrina Garattoni, Sunil Ghimire, Dominic P. Goronzy, S. E. de Graaf, Samuel Haeuser, Mark C. Hersam, P. F. Hopkins, Dieter Isheim, Kamal Joshi, Richard H. J. Kim, Saagar Kolachina, Cameron Kopas, M. J. Kramer, Ella Lachman, Jaeyel Lee, Peter A.C. Lim, Andrei Lunin, William Mah, Jayss Marshall, Josh Mutus, Jin‐Su Oh, D. Olaya, David P. Pappas, J.-M. Park, R. Prozorov, Roberto dos Reis, David N. Seidman, Zuhawn Sung, M. A. Tanatar, Mitchell J. Walker, Jigang Wang, Maxwell Wisne, Haotian Wu, Lin Zhou, Shaojiang Zhu, Anna Grassellino, Alexander Romanenko

原始摘要(英文原文)· Original abstract
The Superconducting Quantum Materials and Systems Center, a U. S. Department of Energy National Quantum Information Science Research Center, has conducted a comprehensive and coordinated study using superconducting transmon qubit chips with known performance metrics to identify the underlying materials-level sources of device-to-device performance variation. Following qubit coherence measurements, these qubits of varying base superconducting metals and substrates have been examined with various non-destructive and invasive material characterization techniques at Northwestern University, Ames National Laboratory, and Fermilab as part of a blind study. We find trends in variations of the depth of the etched substrate trench, the thickness of the surface oxide, and the geometry of the sidewall, which when combined, lead to correlations with the T1 lifetime across different qubits on the same chip. In addition, we provide a list of features that varied from device to device, for which the impact on performance requires further studies. Finally, we identify two low-temperature characterization techniques that may potentially serve as proxy tools for qubit measurements. These insights provide materials-oriented solutions to not only reduce performance variations across neighboring devices but also to engineer and fabricate devices with optimal geometries to achieve performance metrics beyond the state-of-the-art values.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Identifying materials-level sources of performance variation in superconducting transmon qubits — 科研速览 Science Skim