Skip to main content
Climate Variability and Predictability Program
x
Main navigation
Home
About
+
About Us
Organizational Structure
Inter-Agency Group
Scientific Steering Committee
Project Office
Partners
Science
+
Accomplishments
Science & Goals
Teams
+
Panels
US AMOC Science Team
Working Groups
Climate Process Teams
News & Publications
+
Announcements
Newsgrams
Research Highlights
Reports
Variations
Science Plan & Brochure
Calendar & Meetings
+
Meetings & Workshops
Webinars
Past Webinars
Get Involved
+
Contact Us
Search
Quantum Computing and Sensing for Weather and Climate Applications Workshop Poster Gallery
Workshop homepage
Displaying 1 - 10 of 10
Quantum inspired approaches for simulations of differential equations
Ryan Connor
Critical analysis of heterogeneous Earth observation networks for quantum-enabled climate monitoring
Priyank Dubey
Quantum mechanics for large-eddy parameterizations
David Freeman
Linear combination of unitaries decomposition for the Laplace operator
Thomas Hogancamp
Quantum machine learning-based parameterizations for Earth System Models
Hedwig Keller
Potential quantum advantage for nonlinear multiscale complex systems
Xiang-Yu Li
Assessment of a quantum computing approach for the design of aeronautical refrigerant ejectors
Giulio Malinverno
Modeling noctilucent cloud dust with quantum algorithms
Saarah Nazar
The data-ingestion bottleneck for quantum weather models
Srikanth Pavuluri
Quantum algorithms for anistropic convection and diffusion equations
Julien Zylberman
↑