Work

A gate-tunable graphene Josephson parametric amplifier

Year: 2022

Type: article

Source: Nature Nanotechnology

DOI: 10.1038/s41565-022-01235-9

Authors: Guilliam Butseraen, Arpit Ranadive, Nicolas Aparicio, Kazi Rafsanjani Amin, Abhishek Juyal, Martina Esposito, Kenji Watanabe, Takashi Taniguchi, Nicolas Roch, François Lefloch, Julien Renard

Institutions: Institut polytechnique de Grenoble, Centre National de la Recherche Scientifique, Institut Néel, Université Grenoble Alpes, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Laboratoire d'Électronique des Technologies de l'Information, National Institute for Materials Science, CEA Grenoble, Institut de Recherche Interdisciplinaire de Grenoble

Language: English

Topic: Quantum Information and Cryptography

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Agence Nationale de la Recherche, Ministry of Education, Culture, Sports, Science and Technology, National Institute of Standards and Technology, Japan Society for the Promotion of Science

Awards: G1110416008, G3010527862, G3854390519, G4162329948, G4636866504, G4703715196, G6664495284, Graphene-based superconducting Quantum circuits, Synthesis of high quality single crystals for sience of Boron Nitride, G898758523

OpenAlex ID: W4224329976

FWCI: 2.972

Cites: 35

Cited by: 43

Related to: 10