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arXiv · 2607.09381

COSMA: Communication-aware Optimization of Fermionic Simulation Kernels for Modular Quantum Architectures

Enrico Russo·Francesco G. Blanco·Elio Vinciguerra·Davide Patti·Giuseppe Ascia·Maurizio Palesi
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Abstract

Quantum simulation is a leading application of quantum computing, but scaling to chemically relevant problems requires modular architectures composed of interconnected quantum processing units. In such systems, inter-core quantum communication becomes a major performance bottleneck. In this work, we present COSMA, a communication-aware compilation framework for fermionic simulation kernels targeting modular quantum architectures. Our approach jointly optimizes fermion-to-qubit mapping, Pauli scheduling, and qubit allocation to minimize inter-core state transfers. Evaluated on molecular benchmarks, COSMA achieves up to $2.5\times$ reduction in communication cost compared to state-of-the-art baselines, with a median improvement of $1.7\times$. These results demonstrate that cross-layer co-design is essential for efficient and scalable quantum simulation on multi-core quantum hardware.

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Enrico Russo, Francesco G. Blanco, Elio Vinciguerra, Davide Patti, Giuseppe Ascia, Maurizio Palesi. 2026-07-10. COSMA: Communication-aware Optimization of Fermionic Simulation Kernels for Modular Quantum Architectures. https://arxiv.org/abs/2607.09381

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