I believe quantum computing will take a place inside future data centers. Where it is used, it will not be superconducting hardware alone. Superconducting systems are fast, but the cryogenic cooling is heavy. Neutral atoms scale arrays more easily, trapped ions are stronger on quality, and photons are closer to connectivity. Annealing is not a general-purpose computer; it is closer to optimization. In orbital data centers, those differences become harder engineering problems. Superconducting systems still need millikelvin cooling and helium infrastructure. When Elon said permanently shadowed regions on the Moon would be good for quantum computing, he was pointing at the cold environment. Even there, extra equipment would still be required. IonQ bringing optical links and a satellite business in-house may be a move to prepare for markets beyond Earth. Where capacity and density matter, as in quantum memory, neutral atoms may have the edge. That is also why I think Google added neutral-atom research alongside superconducting: it needed a second axis for scale, not just fast operations. The point of neutral atoms is not that errors can be ignored. It is that the same protection might be achieved with fewer physical qubits. Whichever path you take, scaling is hard. The answer is not a single winner. It is each modality covering a different bottleneck, and using them together. $IONQ $INFQ $GOOG $IBM $RGTI $QNT