activity
20242026
most citedCharacterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code

2 citations · 2 across the 9 of their papers we have counts for

collaborators

10 papers

cs.DC2026

Engineering Low-Latency, High-Throughput Quantum Decoders on NVIDIA GPUs

Stefano Markidis, Luca Pennati, Ivy Peng

We design and optimize a quantum error correction (QEC) decoder for NVIDIA GPUs, combining Relay belief propagation, a state-of-the-art message-passing algorithm, with order-zero o…

cs.ET2026

Fewer Histories, Faster Paths: Distributed Quantum Circuit Feynman Simulation via History Reduction, Checkpointing, and Pruning

Frej Larssen, Luca Pennati, Erik M. Åsgrim +2

We present a distributed method for exact sparse-output quantum circuit simulation based on the pure Feynman sum-over-histories formulation. The method computes selected computatio…

cs.ET2026

Which Superconducting Qubit Model is Good Enough? From Effective Two-Level to Circuit-Based Hamiltonians for Pulse-Level Simulation

Frej Larssen, Ivy Peng, Stefano Markidis

Pulse-level simulators are the lowest-level, most widely used abstraction layer for studying how quantum hardware responds to control signals, but they can be built on Hamiltonian…

cs.CE2026

BVH-Accelerated Ray Tracing for High-Frequency Electromagnetic Backscattering

Marco Pasquale, Andong Hu, Luca Pennati +2

As computational complexity in electromagnetics increases with frequency, full-wave solvers become computationally infeasible for electrically large problems. To address this limit…

cs.DC2026

Enabling AI Deep Potentials for Ab Initio-quality Molecular Dynamics Simulations in GROMACS

Andong Hu, Luca Pennati, Stefano Markidis +1

State-of-the-art AI deep potentials provide ab initio-quality results, but at a fraction of the computational cost of first-principles quantum mechanical calculations, such as dens…

cs.ET2025

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…

cs.ET2025

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…

cs.CE2025

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…

cs.CE2025

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…

physics.plasm-ph2024★ 2 cited

Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code

Jeremy J. Williams, Daniel Medeiros, Ivy B. Peng +1

Optimizing iPIC3D, an implicit Particle-in-Cell (PIC) code, for large-scale 3D plasma simulations is crucial for space and astrophysical applications. This work focuses on characte…