CV | Reuben Demirdjian

Reuben Demirdjian

Contact: ReubenDemi at gmail dot com

Google Scholar

Education

PhD in Oceanography, University of California, San Diego

Sept 2014 – May 2020

Bsc in Mathematics, University of California, Santa Barbara

Sept 2010 – June 2012

Bsc in Physics, University of California, Santa Barbara

Sept 2010 – June 2012

Work Experience

Research Meteorologist – U.S. Naval Research Laboratory

July 2023 – Present

Develop and optimize quantum algorithms to solve differential equations
Supervise a postdoc developing algorithms with end-to-end resource analysis
Weather model development for high-performance computers
Dynamical and statistical analysis of weather model data

Postdoctoral Fellow – National Research Council

Sept 2020 – July 2023

Tested quantum algorithm for differential equations on real IBM hardware
Numerical weather prediction using HPC
Received 2 publication awards from the U.S. Navy

Graduate Student Researcher – UC San Diego

April 2014 – May 2020

Dissertation – F. Martin Ralph: Mesoscale Dynamics of Atmospheric Rivers
Mentored two undergraduate students on meteorological research projects

Skills

Programming

Python | Fortran | Bash | NCL | LaTeX

Libraries

Computational

Linux | High-Performance Computing | Parallel Processing | MPI

Math Tools

Variational Algorithms | Matrix Decompositions | Circuit Design

Optimization | Solutions of Differential Equations | Lattice Boltzmann

Ansatz Design | Carleman Linearization | Quantum Data Loading

Publications

Quantum Computing

Demirdjian et al. (2025). An Efficient Decomposition of the Carleman Linearized Burgers’ Equation. Quantum (in rev). https://doi.org/10.48550/arXiv.2505.00285
Demirdjian et al. (2022). Variational Quantum Solutions to the Advection–Diffusion Equation for Applications in Fluid Dynamics. Quantum Inf Process. https://doi.org/10.1007/s11128-022-03667-7

Weather and Fluid Dynamics

Demirdjian et al. (2023). Preconditioning and Intensification of Upstream Extratropical Cyclones through Surface Fluxes. JAS. https://doi.org/10.1175/JAS-D-22-0251.1
Demirdjian et al. (2022). On the Influence of Surface Latent Heat Fluxes on Idealized Extratropical Cyclones. JAS. https://doi.org/10.1175/JAS-D-22-0035.1
Demirdjian et al. (2021). The Circulation Response of a Two-Dimensional Frontogenetic Model to Optimized Moisture Perturbations. JAS. https://doi.org/10.1175/JAS-D-20-0102.1
Demirdjian et al. (2020). Dropsonde Observations of the Ageostrophy within the Pre-Cold-Frontal Low-Level Jet Associated with Atmospheric Rivers. MWR. https://doi.org/10.1175/MWR-D-19-0248.1
Demirdjian et al. (2020). A Case Study of the Physical Processes Associated with the Atmospheric River Initial-Condition Sensitivity from an Adjoint Model. JAS. https://doi.org/10.1175/JAS-D-19-0155.1
Norris et al. (2020). The Observed Water Vapor Budget in an Atmospheric River over the Northeast Pacific. J.Hydro. https://doi.org/10.1175/JHM-D-20-0048.1
Cannon et al. (2020). TGPM Satellite Radar Observations of Precipitation Mechanisms in Atmospheric Rivers. MWR. https://doi.org/10.1175/MWR-D-19-0278.1
Reynolds et al. (2019). Adjoint Sensitivity of North Pacific Atmospheric River Forecasts. MWR. https://doi.org/10.1175/MWR-D-18-0347.1
Martin et al. (2018). Evaluation of Atmospheric River Predictions by the WRF Model Using Aircraft and Regional Mesonet Observations of Orographic Precipitation and Its Forcing. J.Hydro. https://doi.org/10.1175/JHM-D-17-0098.1

Presentations

(2024) Solutions of a Simple Nonlinear PDE using a Noisy Quantum Computer for Applications in Fluid Dynamics, Naval Surface Warfare Center, Carderock, Maryland. Invited
(2024) Solving Simple Nonlinear PDEs using Quantum Computers for Applications in Fluid Dynamics, AMS Annual. Baltimore, Maryland.
(2024) Polar Low Genesis and Intensification Sensitivities to Oceanic Surface Fluxes Using an Idealized Model, Naval Quantum Working Group. Invited
(2023) Modeling and Forecasting Panel. Quantum For Climate & Sustainability, General Electric, Niskayuna, NY. Invited
(2022) Quantum Computing Applications relevant for Numerical Weather Prediction. Zapata Seminar. Invited
(2022) Surface Latent Heat Flux Influence on Idealized Extratropical Cyclones. International Atmospheric Rivers Conference 2022, Santiago, Chile.
(2022) On the Influence of Surface Latent Heat Fluxes on Idealized Extratropical Cyclones. 3rd Pan-GASS Meeting Understanding and Modeling Atmospheric Processes, Monterey, CA.
(2022) Quantum Computing and Numerical Weather Prediction. AMS Annual 2022, Houston, TX.
(2022) Latent Heat Flux Influence on Idealized Extratropical Cyclones, Atmospheric Rivers and the Conveyor Belt Model. AMS Annual 2022, Houston, TX.
(2020) A Case Study of the Physical Processes Associated with the Atmospheric River Initial Condition Sensitivity from an Adjoint Model. AMS Annual, Boston, MA.
(2019) A Case Study of the Physical Processes Associated with the Atmospheric River Initial Condition Sensitivity from an Adjoint Model. 18th Conference on Mesoscale Processes, Savannah, GA.
(2018) An Airborne and Surface-Based Study of the Complete Water Vapor Budget and Associated Dynamical Processes in an Atmospheric River over the Northeast Pacific. Naval Research Laboratory Seminar, Monterey, CA. Invited
(2018) On the use of a height tendency analysis for physical process studies. International Atmospheric Rivers Conference 2018. La Jolla, CA, Scripps Institution of Oceanography.
(2018) Diagnostics of the Ageostrophic Component of a Pre-Frontal Low-Level Jet Using the WRF Model. 18th Conference on Mesoscale Processes: San Diego, CA.
(2017) Dropsonde Observations of the Ageostrophy of the Pre-Cold-Frontal Low-Level Jet in Atmospheric Rivers, and its Role in Modulating Water Vapor Transport. 18th Cyclone Workshop: Sainte Adele, Quebec, Canada, U. Albany.
(2017) A Theory for the Forcing Mechanism of the Ageostrophic Component of the Pre-Frontal Low-Level Jet. AMS Annual 2017, Seattle, WA.
(2015) Skill Test of the West-WRF and GFS Models Verified Using CalWater Dropsonde Observations. AGU Fall Meeting 2015, San Francisco, CA, Amer. Geophys. Union.