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ISSCC 2022Session 22 · CRYO-CIRCUITS AND ULTRA-LOW POWER INTELLIGENT IOTPower Management14nm FinFET

A Cryo-CMOS Low-Power Semi-Autonomous Qubit State Controller in 14nm FinFET Technology

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📋 论文概要

该论文提出了一种采用14nm FinFET工艺的低温CMOS低功耗半自主量子比特状态控制器,旨在解决可扩展量子计算中对大量物理量子比特高效控制的需求。通过半自主架构和低温优化设计,实现了低功耗和高集成度的量子比特状态控制。

💡 主要创新点

工艺节点
14nm FinFET
重要性
发表年份
ISSCC 2022

🏷 关键词

低温CMOS量子比特状态控制器半自主控制14nm FinFET低功耗

📄 原文摘要

Mark Yeck1, Joseph A. Glick1, Raphael Robertazzi1, Ray Richetta2, John F. Bulzacchelli1, Daniel Ramirez2, Dereje Yilma2, Andrew Davies2, Rajiv V. Joshi1, Shawn D. Chambers2, Scott Lekuch1, Ken Inoue1, Devin Underwood1, Dorothy Wisnieff1, Chris Baks1, Donald Bethune3, John Timmerwilke1, Blake R. Johnson1, Brian P. Gaucher1, Daniel J. Friedman1 IBM T. J. Watson Research Center, Yorktown Heights, NY IBM Systems, Rochester, MN; 3IBM Almaden Research Center, San Jose, CA 1 2 Error-corrected quantum computing is expected to require at least 105 to 106 physical qubits. Superconducting transmons, which are promising qubit candidates for scaled quantum computing systems, typically require individually tailored RF pulses in the 4to-6 GHz range to manipulate their states, so scaling to 106 qubits presents an enormous challenge. Providing a control line for every qubit from room temperature (RT) to the

👥 作者与机构

David J. Frank1, Sudipto Chakraborty1, Kevin Tien1, Pat Rosno2, Thomas Fox1,

分类:Power Management · 年份:ISSCC 2022