Quantum-Dot-Based Thermometry Using 12-nm FinFET and Machine Learning Models

Author:

Singh Sujit Kumar1ORCID,Sharma Deepesh1ORCID,Srinivasan P.2ORCID,Dixit Abhisek1ORCID

Affiliation:

1. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India

2. GLOBALFOUNDARIES Inc., Malta, NY, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference31 articles.

1. Quantum Computing in the NISQ era and beyond

2. CMOS on-chip thermometry at deep cryogenic temperatures;Noah;arXiv:2308.00392,2023

3. A cryogenic CMOS chip for generating control signals for multiple qubits

4. Low charge noise quantum dots with industrial CMOS manufacturing;Elsayed;arXiv:2212.06464,2022

5. Accurate Coulomb blockade thermometry up to 60 kelvin

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Developing Process Design Kit (Q-PDK) for Co-Integrated Quantum computers;2024 IEEE Latin American Electron Devices Conference (LAEDC);2024-05-08

2. Performance Analysis and Compact Modeling of 12-nm P-channel Bulk FinFETs at Cryogenic Operating Temperatures for Quantum Computing Applications;2024 IEEE Latin American Electron Devices Conference (LAEDC);2024-05-08

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