2 citations · 4 across the 16 of their papers we have counts for
17 papers
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…
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…
Not Your Usual FFT: QFTFFT via Classical Quantum-Circuit Simulation
Stefano Markidis, Gilbert Netzer, Luca Pennati +2
We introduce QFTFFT, a family of HPC FFT libraries that compute the discrete Fourier transform by executing a quantum Fourier transform (QFT) circuit on classical quan…
Post-Moore Technologies for Plasma Simulation: A Community Roadmap
Luca Pennati, Erik M. Åsgrim, Jeremy J. Williams +21
Plasma simulations are among the most computationally demanding scientific workloads, combining high-dimensional kinetic evolution, particle-mesh coupling, field solves, and data-i…
Mass Matrix Assembly on Tensor Cores for Implicit Particle-In-Cell Methods
Luca Pennati, Stefano Markidis
Matrix-multiply-accumulate (MMA) units, or tensor cores, are now widespread across modern computing architectures. Yet, their use for particle-grid operators remains limited. In im…
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…
Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS
Luca Pennati, Andong Hu, Ivy Peng +2
GROMACS is a de-facto standard for classical Molecular Dynamics (MD). The rise of AI-driven interatomic potentials that pursue near-quantum accuracy at MD throughput now poses a si…
Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems
Jeremy J. Williams, Jordy Trilaksono, Stefan Costea +13
Particle-in-Cell (PIC) Monte Carlo (MC) simulations are central to plasma physics but face increasing challenges on heterogeneous HPC systems due to excessive data movement, synchr…
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…
Tensor Network Compression for Fully Spectral Vlasov-Poisson Simulation
Erik M. Åsgrim, Luca Pennati, Marco Pasquale +1
We propose a numerical method for kinetic plasma simulation in which the phase-space distribution is represented by a low-rank tensor network with an adaptive level of compression.…
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…
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…
A Parallel and Highly-Portable HPC Poisson Solver: Preconditioned Bi-CGSTAB with alpaka
Luca Pennati, Måns I. Andersson, Klaus Steiniger +4
This paper presents the design, implementation, and performance analysis of a parallel and GPU-accelerated Poisson solver based on the Preconditioned Bi-Conjugate Gradient Stabiliz…