High-fidelity physics simulations are powerful tools in the design and optimization of
charged particle accelerators. However, the computational burden of these simulations often …

This article presents a first end-to-end application of a quantum support vector machine
(QSVM) algorithm for a classification problem in the financial payment industry using the IBM …

A long-sought-after goal for photocathode electron sources has been to improve
performance by temporally shaping the incident excitation laser pulse. The narrow …

Dose calculation algorithms based on Monte Carlo (MC) simulations play a crucial role in
radiotherapy. Here, the development and benchmarking of a novel MC dose engine …

We propose a sparse grid-based adaptive noise reduction strategy for electrostatic particle-
in-cell (PIC) simulations. By projecting the charge density onto sparse grids we reduce the …

We introduce a novel particle-in-Fourier (PIF) scheme based on [1],[2] that extends its
applicability to non-periodic boundary conditions. Our method handles free space boundary …

Almost all applications stop scaling at some point; those that don't are seldom performant
when considering time to solution on anything but aspirational/unicorn resources …

Particle accelerators are among some of the largest science experiments in the world and
can consist of thousands of components with a wide variety of input ranges. These systems …

Abstract For the Isotope Decay At Rest (IsoDAR) experiment in neutrino physics (searching
for sterile neutrinos), we have developed a novel compact isochronous cyclotron with direct …

The efficient detection of chaotic behavior in orbits of a complex dynamical system is an
active domain of research. Several indicators have been proposed, and new ones have …