EACO: Predicting -Equivariant Quantum Operators via Edge-Aligned Convolution
Abstract
Predicting quantum operator matrices from atomic structures with group symmetries enables large-scale electronic-structure calculations and high-throughput materials screening. Focusing on this task, current edge-aligned convolutions guarantee global equivariance. Still, under reflections or spatial inversion, they cannot force particular operator components to vanish or protect electronic degeneracies. To overcome this issue, we propose Edge-Aligned Convolution (EACO), a message-passing layer that achieves local equivariance with strict locality and high computational efficiency. In particular, EACO assigns each irreducible representation (irrep) of angular degree and inversion parity the sign , indicating how it transforms under a reflection in the edge-aligned local frame and thus distinguishing the irreps with the same angular degree but opposite inversion parities. We prove that local equivariance is necessary and sufficient for global equivariance within this construction, so the model built on EACO preserves the transformation laws of the full group. Compared with SLEM, EACO reduces Hamiltonian MAE by up to 22.1% across five materials, with 17.2%29.6% fewer parameters. It also reduces equivariance errors under reflections and spatial inversion by three to four orders of magnitude. On graphene, EACO recovers the horizontal-mirror () selection rule for flexural phonons, suppressing forbidden electron–phonon coupling while accurately reproducing allowed coupling.
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