
Ermal Rrapaj
Computer Systems Engineer 3
National Energy Research Scientific Computing Center (NERSC)
HPC Technology Dept.
Advanced Technologies Group
Ermal Rrapaj is a staff member of the Advanced Technologies Group (ATG) in computational research at Berkeley Lab. Prior to joining ATG, Ermal was a Riken-Berkeley fellow and N3AS fellow. He has earned masters in Applied Mathematics and Physics and a Ph.D. in Physics from the University of Washington, Seattle. He is a visiting researcher at the University of California Berkeley Physics Department and Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) RIKEN. Rrapaj's research at NERSC explores the intersection of scientific computing algorithms and HPC system architecture. I have a background in developing, implementing, and optimizing new algorithms for ab initio quantum many-body physics, with a focus on nuclear astrophysics. My postdoctoral work investigated Monte Carlo, deep learning, and quantum computing methods. Rrapaj's work in HPC centers on the power profile of applications, supporting deep learning methods for science, and integrating quantum computing software and hardware for scientific domains.
Recent Publications
Chiral effective field theory calculation of neutrino reactions in warm neutron-rich matter
Authors: Shin, E; Rrapaj, E; Holt, JW; Reddy, SK
January 2024, Physical Review C
Quantum information and quantum simulation of neutrino physics
Authors: Balantekin, AB; Cervia, MJ; Patwardhan, AV; Rrapaj, E; Siwach, P
January 2023, European Physical Journal A
Entanglement and correlations in fast collective neutrino flavor oscillations
Authors: Roggero, A; Rrapaj, E; Xiong, Z
August 2022, Physical Review D
Improving Schrödinger Equation Implementations with Gray Code for Adiabatic Quantum Computers
Authors: Chang, CC; McElvain, KS; Rrapaj, E; Wu, Y
June 2022, PRX Quantum
Exact block encoding of imaginary time evolution with universal quantum neural networks
Authors: Rrapaj, E; Rule, E
March 2025, Physical Review Research
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