33.1k citations
- Sandia National LaboratoriesUS256 papers
- University of California, BerkeleyUS56 papers
- Lawrence Berkeley National LaboratoryUS52 papers
- Los Alamos National LaboratoryUS32 papers
- Oak Ridge National LaboratoryUS27 papers
- Lawrence Livermore National LaboratoryUS26 papers
- Stanford UniversityUS26 papers
- Princeton UniversityUS24 papers
- University of New MexicoUS22 papers
- North Carolina State UniversityUS20 papers
- University of Tennessee at KnoxvilleUS20 papers
- University of WashingtonUS20 papers
640 papers
Characterizing and Codifying Malware Sophistication
Angelo Porcella, Zachary Wadhams, Clemente Izurieta +2
'Sophisticated' is widely used to describe malware, yet it lacks a consistent definition within academic literature. While existing software quality and complexity metrics offer so…
The Role of Source Geometry and Atmospheric Propagation in Global Bolide Infrasound Detectability
Miro Ronac Giannone, Elizabeth A. Silber
Global infrasound monitoring provides a persistent means of detecting energetic bolide atmospheric entries, complementing optical observations and extending coverage over remote re…
Quasiparticle GW for Superconductors: Toward a Unified Treatment of Electron-Phonon and Electron-Plasmon Couplings
Catalin D. Spataru, Christopher Renskers, Elena R. Margine
Superconducting two-dimensional materials, and in particular few-layer graphene, offer an exciting platform for low-power electronics, yet the origin of their unconventional superc…
Predictive first-principles simulations for co-designing next-generation energy-efficient AI systems
Denis Mamaluy, Md Rahatul Islam Udoy, Juan P. Mendez +3
In modern generative-AI workloads, matrix-vector/matrix-matrix multiplications (\emph{MatMul}) dominate the compute and energy cost. Achieving dramatic reductions in energy per tok…
Data-driven learning of non-Markovian quantum dynamics
Samuel Goodwin, Brian K. McFarland, Manuel H. Muñoz-Arias +6
Fault-tolerant quantum computing requires extremely precise knowledge and control of qubit dynamics during the application of a gate. We develop a data-driven learning protocol for…
Modeling integrated frequency shifters and beam splitters
Manuel H. Muñoz-Arias, Kevin J. Randles, Nils T. Otterstrom +3
Photonic quantum computing is a strong contender in the race to fault-tolerance. Recent proposals using qubits encoded in frequency modes promise a large reduction in hardware foot…