Google Quantum AI Expands to Neutral Atom Computing Alongside Superconducting Qubits

Google Quantum AI is enhancing its quantum computing strategy by adding neutral atom systems to its existing superconducting qubit efforts. This dual-modality approach aims to leverage the strengths of both technologies: superconducting qubits for speed and neutral atoms for scalability. Dr. Adam Kaufman has been appointed to lead the new neutral atom hardware team in Boulder, Colorado. Google's initiative follows a significant milestone with the 105-qubit Willow chip, which achieved operation below the quantum error correction threshold. The company believes that diversifying its hardware portfolio will accelerate progress toward commercially viable quantum computing solutions by the end of the decade.

Published Mar 25, 2026

Google Quantum AI is expanding its quantum computing strategy by introducing neutral atom systems alongside its superconducting qubit technology. This dual approach aims to combine the speed of superconducting qubits, capable of executing millions of gate operations in microseconds, with the scalability of neutral atoms, which can manage arrays of around 10,000 qubits but operate in milliseconds.

AI-curated by Theia

To spearhead this initiative, Dr. Adam Kaufman has been appointed to lead the neutral atom hardware team in Boulder, Colorado. This expansion follows the success of the 105-qubit Willow chip, which operated below the quantum error correction threshold, and supports Google's belief that both superconducting and neutral atom technologies can thrive in the quantum ecosystem.

The initiative will focus on quantum error correction, hardware simulation, and application-scale hardware development, while maintaining collaboration with QuEra. Google aims for commercially relevant quantum computers by the end of the decade.