Google said it will broaden its quantum-computing program beyond superconducting circuits to include neutral-atom systems, aiming to speed progress toward commercially relevant machines by decade’s end. The company cited complementary strengths: superconducting processors excel at deep, fast circuits, while neutral atoms scale to large qubit arrays with flexible connectivity that can benefit error correction. Google hired Adam Kaufman, a JILA fellow and CU Boulder faculty member, to lead neutral-atom hardware development in Boulder, and plans to leverage local institutions including NIST and partners such as QuEra. The effort focuses on error correction, large-scale modeling and simulation, and experimental hardware, underscoring Google’s bet that pursuing multiple modalities will accelerate timelines and diversify applications.
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