8 citations · 20 across the 28 of their papers we have counts for
11 papers · 1 filter
QPU Micro-Kernels for Stencil Computation
Stefano Markidis, Luca Pennati, Marco Pasquale +2
We introduce QPU micro-kernels: shallow quantum circuits that perform a stencil node update and return a Monte Carlo estimate from repeated measurements. We show how to use them to…
An HPC-Inspired Blueprint for a Technology-Agnostic Quantum Middle Layer
Stefano Markidis, Gilbert Netzer, Luca Pennati +1
We present a blueprint for a quantum middle layer that supports applications across various quantum technologies. Inspired by concepts and abstractions from HPC libraries and middl…
Exascale Implicit Kinetic Plasma Simulations on El~Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics
Stefano Markidis, Andong Hu, Ivy Peng +9
Our fully kinetic, implicit Particle-in-Cell (PIC) simulations of global magnetospheres on up to 32,768 of El Capitan's AMD Instinct MI300A Accelerated Processing Units (APUs) repr…
Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning
Paolo Marcandelli, Yuanchun He, Stefano Mariani +2
We introduce the Partitioned Hybrid Quantum Fourier Neural Operator (PHQFNO), a generalization of the Quantum Fourier Neural Operator (QFNO) for scientific machine learning. PHQFNO…
A Hybrid Quantum-Classical Particle-in-Cell Method for Plasma Simulations
Pratibha Raghupati Hegde, Paolo Marcandelli, Yuanchun He +4
We present a hybrid quantum-classical electrostatic Particle-in-Cell (PIC) method, where the electrostatic field Poisson solver is implemented on a quantum computer simulator using…
Discovering Governing Equations of Geomagnetic Storm Dynamics with Symbolic Regression
Stefano Markidis, Jonah Ekelund, Luca Pennati +2
Geomagnetic storms are large-scale disturbances of the Earth's magnetosphere driven by solar wind interactions, posing significant risks to space-based and ground-based infrastruct…
Physics-Aware Compression of Plasma Distribution Functions with GPU-Accelerated Gaussian Mixture Models
Andong Hu, Luca Pennati, Ivy Peng +1
Data compression is a critical technology for large-scale plasma simulations. Storing complete particle information requires Terabyte-scale data storage, and analysis requires ad-h…
Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
Jonah Ekelund, Savvas Raptis, Vicki Toy-Edens +4
Analyzing multi-featured time series data is critical for space missions making efficient event detection, potentially onboard, essential for automatic analysis. However, limited o…
Apple vs. Oranges: Evaluating the Apple Silicon M-Series SoCs for HPC Performance and Efficiency
Paul Hübner, Andong Hu, Ivy Peng +1
This paper investigates the architectural features and performance potential of the Apple Silicon M-Series SoCs (M1, M2, M3, and M4) for HPC. We provide a detailed review of the CP…
Harnessing CUDA-Q's MPS for Tensor Network Simulations of Large-Scale Quantum Circuits
Gabin Schieffer, Stefano Markidis, Ivy Peng
Quantum computer simulators are an indispensable tool for prototyping quantum algorithms and verifying the functioning of existing quantum computer hardware. The current largest qu…
Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs
Jonah Ekelund, Stefano Markidis, Ivy Peng
Graphics Processing Units (GPUs) have become the standard in accelerating scientific applications on heterogeneous systems. However, as GPUs are getting faster, one potential perfo…