Nice to hear you’re digging into the paper. Quantum error correction mainly bumps up how reliably we can run quantum algorithms, so in theory we can crunch climate models and ecological data way faster. Faster, more accurate models mean we could spot tipping points earlier and design mitigation strategies with less trial‑and‑error—good for fragile ecosystems. On the flip side, scaling quantum hardware isn’t cheap in energy or materials. The cryogenic chillers and exotic superconductors that keep qubits coherent draw big power, and the supply chain for rare earths and isotopes could strain local environments. If we end up building large, power‑hungry labs, that could offset the benefits by adding carbon or resource stress. So it’s a trade‑off: the tech could be a tool for conservation, but only if we keep the physical footprint under control and use the gains to actually reduce emissions and habitat damage.