How Fault-Tolerant Quantum Computing Benefits from Cryo-CMOS Technology

H.-L. Chiang, R.A. Hadi, J.-F. Wang, Hung-Chi Han, J.-J. Wu, H.-H. Hsieh, Jao‐Jia Horng, Wen-Shen Chou, Brian Lien, Yeong‐Hwa Chang, Y.-C. Chen, Y.-H. Wang, T.-C. Chen, J.-C. Liu, Yuhao Liu, Meng‐Hsueh Chiang, Kuo-Hsing Kao, B. Pulicherla, Jun Cai, C. S. Chang · 2023

Given the limited space and cooling capacity in dilution refrigerators, it is challenging to scale the number of qubits for a fault-tolerant quantum computer (QC). In this paper, we study a custom-scaled CMOS technology to overcome the constraints in the dilution refrigerators. With Cryo-Design/ Technology CoOptimization (Cryo-DTCO) in an advanced node, one can then reduce the control power from 26.8 mW/ qubit to 8.4 mW/ qubit $(\sim 0.31 \times)$. Projections suggest this may be sufficient to enable error corrections via surface codes for fault-tolerant computing.

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