Publications
Showing 10 results for Author: Ryan E. Landfield
Mar, 2026
Conference Paper
Quantum Approximate Optimization Algorithm on Different Qubit Systems
Solving optimization problems is critical across many research domains, but the high dimensionality of parameter spaces often poses significant challenges. The Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising approach for accelerating optimization in the Noisy Intermediate-Scale Quantum (NISQ) era by leveraging both classical and quantum computa…
Jul, 2024
Journal
Integrating quantum computing resources into scientific HPC ecosystems
Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges due to the noisy intermediate-scale quantum era’s inherent external noise issues. This paper discusses the integration of QC as a computational accelerator within classical scientific hig…
Dec, 2023
Journal
Gravitational-wave signal of a core-collapse supernova explosion of a 15M⊙ star
We report on the gravitational-wave signal computed in the context of a three-dimensional simulation of a core-collapse supernova explosion of a 15 M⊙ star. The simulation was performed with our neutrino hydrodynamics code chimera. We detail the gravitational wave strains as a function of time, for both polarizations, and discuss their physical origins. We also present the…
Nov, 2023
Journal
Core collapse supernova gravitational wave emission for progenitors of 9.6, 15, and 25M⊙
We present gravitational wave emission predictions based on three core collapse supernova simulations corresponding to three different progenitor masses. The masses span a large range, between 9.6 and 25M⊙, are all initially nonrotating, and are of two metallicities: zero and solar. We compute both the temporal evolution of the gravitational wave strains for both the plus…