2018
DOI: 10.48550/arxiv.1811.11497
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Cryogenic Characerization and Modeling of Standard CMOS down to Liquid Helium Temperature for Quantum Computing

Zhen Li,
Chao Luo,
Tengteng Lu
et al.

Abstract: Cryogenic characterization and modeling of 0.18µm CMOS technology (1.8V and 5V) are presented in this paper. Several PMOS and NMOS transistors with different width to length ratios(W/L) were extensively characterized under various bias conditions at temperatures ranging from 300K down to 4.2K. We extracted their fundamental physical parameters and developed a compact model based on BSIM3V3. In addition to their I-V characteristics, threshold voltage(V th ) values, on/off current ratio, transconductance of the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 24 publications
0
1
0
Order By: Relevance
“…We apply a basic BSIM3 model to try to replicate the behavior of our devices at cryogenic temperatures, tuning a limited set of the model parameters to fit the measurements [7]. The BSIM3 model is not designed to work below around 220 K, but previous work has shown it is possible to phenomenologically tune the model parameters to work down to 77 K [8,9], and possibly even down to 4 K [10]. We tune the V th0 , K 1 , U A , and U B parameters using measurements from one device size and then apply the resulting model to other sizes for comparison.…”
Section: Simulationmentioning
confidence: 99%
“…We apply a basic BSIM3 model to try to replicate the behavior of our devices at cryogenic temperatures, tuning a limited set of the model parameters to fit the measurements [7]. The BSIM3 model is not designed to work below around 220 K, but previous work has shown it is possible to phenomenologically tune the model parameters to work down to 77 K [8,9], and possibly even down to 4 K [10]. We tune the V th0 , K 1 , U A , and U B parameters using measurements from one device size and then apply the resulting model to other sizes for comparison.…”
Section: Simulationmentioning
confidence: 99%