tech
March 30, 2026
Google: The Dual Path Race to Commercial Quantum Computing
Google Quantum AI team is investing in superconducting qubits & neutral atoms to double its odds in the race to build commercially viable quantum computers
TL;DR
- Google Quantum AI is pursuing superconducting qubits and neutral atoms to develop commercial quantum computers.
- Superconducting qubits are fast and good for complex operations but face scaling challenges.
- Neutral atoms are better at scaling and offer flexible connectivity but are currently slower.
- Google's dual investment aims to cross-pollinate research and deliver versatile quantum platforms.
- The neutral atoms program, led by Dr. Adam Kaufman, focuses on error correction, modeling, and hardware development.
- Google is collaborating with QuEra and institutions like CU Boulder, JILA, and NIST Boulder.
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