Google Quantum AI

lab
quantum-computinggooglewillowsuperconducting-qubitsneutral-atomfluxoniumdual-modality

Google Quantum AI

Type: Research division of Alphabet Architecture bets: Willow (superconducting) + Atlantic Quantum (fluxonium) + QuEra (neutral atom) — three programs

Google Quantum AI is the research organization behind the Willow processor — the first superconducting quantum system to operate below the surface-code threshold (Λ=2.14 per 2 distance steps, 0.143% error/cycle at distance-7, 2.4× logical vs physical memory). In April 2026, Google adopted a dual-modality strategy, adding neutral atoms to its roadmap via strategic investment in QuEra and an internal program led by Adam Kaufman (CU Boulder).

Key Contributions

  • Willow processor — 101-qubit surface-code demonstration below threshold (Acharya et al., arXiv 2408.13687). (Willow)
  • Exponential error suppression proof — Λ=2.14 per 2 distance steps demonstrates scalable QEC. (Willow)
  • Real-time decoding at distance-5 — 1M cycles, 63μs average decoder latency. (Willow)
  • Atlantic Quantum acquisition (Oct 2025) — added fluxonium-based qubit designs to the Willow roadmap. (Google+QuEra)
  • QuEra strategic investment (Apr 2026) — entered neutral atom computing; internal team led by Adam Kaufman. (Google+QuEra)
  • Three-pillar neutral atom program — QEC, Modeling & Simulation, Hardware. (Google+QuEra)

Related Collaborations

  • Besedin et al. Nature Physics 2026 — lattice surgery on distance-3 repetition codes (ETH/Jülich/Aachen, not Google directly but demonstrates the compute primitive for Google's Willow protocol). (Besedin)

Mentioned In

Related Entities