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Scientific Reports
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November 9, 2024
Mitigating coherent loss in superconducting circuits using molecular self-assembled monolayers
Mohammed Alghadeer, Archan Banerjee, Kyunghoon Lee, et al.
ACS Applied Materials & Interfaces
|
December 27, 2022
Surface Passivation of Niobium Superconducting Quantum Circuits Using Self-Assembled Monolayers
Mohammed Alghadeer, Archan Banerjee, Ahmed Hajr, et al.
Journal of Low Temperature Physics
|
March 7, 2019
Design and Characterisation of Titanium Nitride Subarrays of Kinetic Inductance Detectors for Passive Terahertz Imaging
Dmitry Morozov, Simon M Doyle, Archan Banerjee, et al.
Optics Express
|
July 14, 2016
Nano-optical single-photon response mapping of waveguide integrated molybdenum silicide (MoSi) superconducting nanowires
Jian Li, Robert A Kirkwood, Luke J Baker, et al.
Nature Communications
|
May 1, 2024
Surpassing millisecond coherence in on chip superconducting quantum memories by optimizing materials and circuit design
Suhas Ganjam, Yanhao Wang, Yao Lu, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Scientific Reports
|
November 9, 2024
Mitigating coherent loss in superconducting circuits using molecular self-assembled monolayers
Mohammed Alghadeer, Archan Banerjee, Kyunghoon Lee, et al.
ACS Applied Materials & Interfaces
|
December 27, 2022
Surface Passivation of Niobium Superconducting Quantum Circuits Using Self-Assembled Monolayers
Mohammed Alghadeer, Archan Banerjee, Ahmed Hajr, et al.
Journal of Low Temperature Physics
|
March 7, 2019
Design and Characterisation of Titanium Nitride Subarrays of Kinetic Inductance Detectors for Passive Terahertz Imaging
Dmitry Morozov, Simon M Doyle, Archan Banerjee, et al.
Optics Express
|
July 14, 2016
Nano-optical single-photon response mapping of waveguide integrated molybdenum silicide (MoSi) superconducting nanowires
Jian Li, Robert A Kirkwood, Luke J Baker, et al.
Nature Communications
|
May 1, 2024
Surpassing millisecond coherence in on chip superconducting quantum memories by optimizing materials and circuit design
Suhas Ganjam, Yanhao Wang, Yao Lu, et al.
Page
of 1