"Solid state qubits: how learning from CMOS fabrication can speed-up ..."

Iuliana P. Radu et al. (2021)

> Home

Details and statistics

DOI: 10.23919/VLSICIRCUITS52068.2021.9492397

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/vlsic/RaduLPIWKSVJCGM21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/vlsic/RaduLPIWKSVJCGM21
Iuliana P. Radu, Roy Li, Anton Potocnik, Tsvetan Ivanov, Danny Wan, Stefan Kubicek, Nard I. Dumoulin Stuyck, Jeroen Verjauw, Julien Jussot, Yann Canvel, Clement Godfrin, Massimo Mongillo, Rohith Acharya, Asser Elsayed, Mohamed Shehata, Xiaoyu Piao, Antoine Pacco, Laurent Souriau, Sebastien Couet, B. T. Chan, Jan Craninckx, Bertrand Parvais, Alexander Grill, Subramanian Narasimhamoorthy, Steven Van Winckel, Steven Brebels, Fahd A. Mohiyaddin, George Simion, Bogdan Govoreanu:
Solid state qubits: how learning from CMOS fabrication can speed-up progress in Quantum Computing. VLSI Circuits 2021: 1-2

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.