Google Quantum AI has announced an expansion of its research program to include neutral atom quantum computing alongside its existing work on superconducting qubits. This dual-track approach aims to leverage the complementary strengths of both modalities: superconducting processors currently excel in circuit depth and fast cycle times, while neutral atom arrays offer flexible connectivity and higher qubit counts.
The new program focuses on three main pillars: quantum error correction, hardware simulation, and experimental development. To lead the experimental hardware team, Google has announced that they have appointed Dr. Adam Kaufman, a JILA Fellow and CU Boulder faculty member. The initiative will be based in Boulder, Colorado, to tap into the region’s established ecosystem for atomic, molecular, and optical physics. Additionally, Google plans to continue its collaboration with the neutral atom computing company QuEra to further accelerate progress toward commercially relevant quantum systems.
This expansion follows the recognition of Google’s foundational research in the field, as Google Quantum AI Chief Scientist Michel Devoret and former hardware lead John Martinis were awarded the 2025 Nobel Prize in Physics for their work on macroscopic quantum effects in superconducting circuits.
