COSMA achieves a 2.5× cost reduction via joint quantum kernel optimization

Researchers Enrico Russo, Francesco G. Blanco, Elio Vinciguerra, Davide Patti, Giuseppe Ascia, and Maurizio Palesi report achieving up to a 2.5-fold reduction in communication cost for fermionic simulation kernels using a new framework called COSMA. Designed for modular quantum architectures, systems built from interconnected quantum processing units, COSMA jointly optimizes key areas including fermion-to-qubit mapping, Pauli scheduling, and qubit allocation to minimize data transfer between cores. Evaluated on molecular benchmarks, the team’s approach achieves a median 1.7-fold reduction in communication cost compared to existing baselines. This approach addresses a critical performance bottleneck as quantum computers scale toward tackling complex chemical simulations, and the results demonstrate that cross-layer co-design is essential for efficient and scalable quantum…