Nature Machine Intelligence, Published online: 03 September 2026; doi:10.1038/s42256-026-01289-7

Wang et al. introduce a hardware-efficient quantum neural operator that overcomes classical linear capacity limits. Using an implicit quadratic frame, it offers accelerated expressivity for solving differential equations in the noisy intermediate-scale quantum era.

Nature Machine Intelligence, Published online: 03 September 2026; doi:10.1038/s42256-026-01295-9

RNA structure and function are hard to infer because annotations are scarce, despite abundant sequence data. Upadhyay et al. trained a self-supervised model on large-scale RNA data that derives biologically meaningful patterns from sequence correlations.