Cryogenic III-V and Nb electronics integrated on silicon for large-scale quantum computing platforms

Quantum computers now encounter the significant challenge of scalability, similar to the issue that classical computing faced previously. Recent results in high-fidelity spin qubits manufactured with a Si CMOS technology, along with demonstrations that cryogenic CMOS-based control/readout electronic...

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Veröffentlicht in:Nature communications 2024-12, Vol.15 (1), p.10809-10, Article 10809
Hauptverfasser: Jeong, Jaeyong, Kim, Seong Kwang, Suh, Yoon-Je, Lee, Jisung, Choi, Joonyoung, Kim, Joon Pyo, Kim, Bong Ho, Park, Juhyuk, Shim, Joonsup, Rheem, Nahyun, Lee, Chan Jik, Jo, Younjung, Geum, Dae-Myeong, Park, Seung-Young, Kim, Jongmin, Kim, Sanghyeon
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Sprache:eng
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Zusammenfassung:Quantum computers now encounter the significant challenge of scalability, similar to the issue that classical computing faced previously. Recent results in high-fidelity spin qubits manufactured with a Si CMOS technology, along with demonstrations that cryogenic CMOS-based control/readout electronics can be integrated into the same chip or die, opens up an opportunity to break out the challenges of qubit size, I/O, and integrability. However, the power consumption of cryogenic CMOS-based control/readout electronics cannot support thousands or millions of qubits. Here, we show that III–V two-dimensional electron gas and Nb superconductor-based cryogenic electronics can be integrated with Si and operate at extremely low power levels, enabling the control and readout for millions of qubits. Our devices offer a unity gain cutoff frequency of 601 GHz, a unity power gain cutoff frequency of 593 GHz, and a low noise indication factor I D g m − 1 of 0.21 Vmm S − 1 at 4 K using more than 10 times less power consumption than CMOS. The power consumption of control/readout electronics remains a limiting factor for large-scale quantum computers. Here, the authors demonstrate III–V semiconductor and Nb superconductor-based cryogenic electronics integrated on silicon for large-scale quantum computing systems.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-55077-1