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20242026
most citedMulti-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems

1 citations · 1 across the 12 of their papers we have counts for

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cs.ET2026

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

Frej Larssen, Luca Pennati, Erik M. Ã sgrim +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.ET2026

Post-Moore Technologies for Plasma Simulation: A Community Roadmap

Luca Pennati, Erik M. Ã sgrim, 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…

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…