Atom Computing has demonstrated a neutral-atom quantum computer that can correct its own errors repeatedly during computations. The system scaled error-correcting qubit groups from 16 to 32 while lowering error rates and performed up to 90 consecutive rounds of checks. This development positions the approach as a stronger competitor to superconducting designs.
Researchers led by Ben Bloom built the machine using electrically neutral ultracold atoms. They spread information across larger groups of qubits to detect and discard errors without adding new ones. Error rates fell as the groups grew, a key step toward scaling power. The team kept the system running through 90 rounds of error monitoring. This sustained operation had not been shown before in neutral-atom systems. Experts at Princeton University and the University of Wisconsin-Madison called the work an important technical advance, though they noted that further reductions in error rates are still needed. Similar milestones were reached earlier with superconducting qubits by Google in 2023 and with neutral atoms by Harvard researchers in 2025. Atom Computing’s result combines scaling, error reduction, and repeated checks in one experiment.