Researchers have begun to quantify the computational cost of simulating fundamental biochemical processes using emerging quantum algorithms. Ryan LaRose (Michigan State University), Alan Bidart (Brown University), and Ben DalFavero (Michigan State University), alongside Economou et al., investigated the resource demands of modelling ATP/metaphosphate hydrolysis , a crucial reaction underpinning metabolism, cellular signalling, and potential cancer treatments. Their work, utilising exact classical simulation, numerical estimation and analytical bounds, represents a significant step towards determining the feasibility of applying quantum computers to real-world biological problems. By comparing the eigensolver, Krylov, and phase estimation methods, the team demonstrate…