A C-band cryogenic gallium arsenide low-noise amplifier for quantum applications

Large-scale superconducting quantum computers require massive numbers of high-performance cryogenic low-noise amplifiers (cryo-LNAs) for qubit readout. Here we presented a C-band monolithic microwave integrated circuit (MMIC) cryo-LNA for this purpose. This cryo-LNA is based on a 150 nm gallium arsenide (GaAs) pseudomorphic high electron mobility transistor (pHEMT) process and implemented with a three-stage cascaded architecture, where the first stage adopts careful impedance matching to optimize the noise and return loss. The integration of negative feedback loops adopted in the second and third stages enhances the overall stability. Moreover, the pHEMT self-bias and current multiplexing circuitry structure facilitate the reduction of power consumption and require only a single bias line. Operating at an ambient temperature of 3.6 K and consuming 15 mW, the cryo-LNA demonstrates good performance in the C-band, reaching a minimum noise temperature of 4 K and an average gain of 40 dB. We further benchmarked this cryo-LNA with superconducting qubits, achieving an average single-shot dispersive readout fidelity of 98.3% without assistance from a quantum-limited parametric amplifier. The development of GaAs cryo-LNA diversifies technical support necessary for large-scale quantum applications.

Authors

Institutions

Publication Details

Journal
Chip
Published
2025-04-06
DOI
https://doi.org/10.1016/j.chip.2025.100146
Citations
1
Primary Topic
Semiconductor Quantum Structures and Devices
Type
article
Field-Weighted Citation Impact
1.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A C-band cryogenic gallium arsenide low-noise amplifier for quantum applications

Wenhui Ren, Xiayu Linpeng, Ziyu Tao, Youpeng Zhong et al.
1 citations
Chip
Semiconductor Quantum Structures and Devices
1.25
article

A C-band cryogenic gallium arsenide low-noise amplifier for quantum applications

Wenhui Ren, Xiayu Linpeng, Ziyu Tao, Youpeng Zhong, Yuefeng Yuan, Peisheng Huang, Jingjing Niu, Jiawei Qiu, Dali Sun, Dapeng Yu, Yongqi Liang, Chu Ji, Wenhui Huang, Jiajian Zhang, Ziqing Guo, Xuandong Sun, Weijie Guo, Ji Hai Jiang, Jiawei Zhang
article en
1 citations

Abstract

Large-scale superconducting quantum computers require massive numbers of high-performance cryogenic low-noise amplifiers (cryo-LNAs) for qubit readout. Here we presented a C-band monolithic microwave integrated circuit (MMIC) cryo-LNA for this purpose. This cryo-LNA is based on a 150 nm gallium arsenide (GaAs) pseudomorphic high electron mobility transistor (pHEMT) process and implemented with a three-stage cascaded architecture, where the first stage adopts careful impedance matching to optimize the noise and return loss. The integration of negative feedback loops adopted in the second and third stages enhances the overall stability. Moreover, the pHEMT self-bias and current multiplexing circuitry structure facilitate the reduction of power consumption and require only a single bias line. Operating at an ambient temperature of 3.6 K and consuming 15 mW, the cryo-LNA demonstrates good performance in the C-band, reaching a minimum noise temperature of 4 K and an average gain of 40 dB. We further benchmarked this cryo-LNA with superconducting qubits, achieving an average single-shot dispersive readout fidelity of 98.3% without assistance from a quantum-limited parametric amplifier. The development of GaAs cryo-LNA diversifies technical support necessary for large-scale quantum applications.

ChipVol. 4(4)
Ningxia University (CN), Southern University of Science and Technology (CN), Beijing Academy of Quantum Information Sciences (CN)
Affordable and clean energy
Openalex Percentile: Top 22%
Semiconductor Quantum Structures and Devices
1.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.