Google expands into neutral atom quantum computing
The neutral atom programme focuses on error correction, hardware simulation, and experimental development to scale atomic qubits for commercial applications.
Google Quantum AI is broadening its quantum computing research to include neutral atom technology alongside its established superconducting qubits. Neutral atoms offer high connectivity and flexibility, while superconducting qubits provide fast cycles and deep circuit performance.
By pursuing both approaches, Google aims to accelerate progress and deliver versatile platforms for different computational challenges.
The neutral atom programme is focused on three pillars: quantum error correction adapted for atom arrays, modelling and simulation of hardware architectures, and experimental hardware development to manipulate atomic qubits at scale.
The initiative is led by Dr Adam Kaufman, who joins Google from CU Boulder, bringing expertise in atomic, molecular, and optical physics to advance neutral atom hardware.
Google is leveraging the Boulder quantum ecosystem, collaborating with institutions such as JILA, CU Boulder, NIST, and QuEra to strengthen research and innovation. These partnerships give access to top talent, facilities, and federal programmes, strengthening the US role in global quantum research.
By combining superconducting and neutral-atom approaches, Google aims to address critical physics and engineering challenges on the path to large-scale, fault-tolerant quantum computers, with commercial relevance expected by the end of the decade.
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