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GitHub / RamPrakash08 / Exceptional_Point_Sensors

Specifically showed that eigenvalue variations under a perturbation are not a good measure of the overall sensor performance near an Exceptional Point.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RamPrakash08%2FExceptional_Point_Sensors
PURL: pkg:github/RamPrakash08/Exceptional_Point_Sensors

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 114 KB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: over 1 year ago

Commit Stats

Commits: 13
Authors: 1
Mean commits per author: 13.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/RamPrakash08/Exceptional_Point_Sensors

Topics: dissipative-noisy-system, exceptional-point-systems, exceptional-points, gaussian-noise, matplotlib-pyplot, monte-carlo-simulation, non-hemitian-quantum-system, open-quantum-systems, parity-time-symmetry, passive-sensors

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