Google Broadens Its Quantum Computing Strategy
Google Quantum AI is expanding its quantum computing research to include neutral atom qubits, a notable shift for a program that has spent more than a decade focused only on superconducting qubit technology. The company says this new direction creates a dual-track strategy designed to speed up progress toward a commercially viable quantum computer.
The change adds a second path alongside Google’s established superconducting work. According to the company, it is now increasingly confident that commercially relevant quantum computers based on superconducting technology will be available by the end of this decade. At the same time, it is moving forward with neutral atom quantum computing, which uses individual atoms as qubits.
Why Google Is Pursuing Both Superconducting and Neutral Atom Qubits
Complementary strengths of the two quantum platforms
Google presents superconducting and neutral atom systems as complementary rather than competing approaches.
Superconducting qubits have scaled to circuits with millions of gate and measurement cycles, with each cycle taking just a microsecond. Neutral atom arrays, by contrast, have reached about ten thousand qubits and offer flexible any-to-any connectivity, which supports efficient algorithms and error-correcting codes.
Google describes the difference in practical terms: superconducting processors are easier to scale in the time dimension, while neutral atoms are easier to scale in the space dimension.
A dual-track quantum roadmap
By working on both platforms at once, Google is positioning its research program around two different scaling advantages. The company’s view is that combining these strengths can help accelerate the path toward useful quantum computing.
The Three Pillars of Google’s Neutral Atom Research Program
Google says its neutral atom effort will be built on three main pillars:
Adapting quantum error correction
One focus will be adapting quantum error correction to fit the connectivity of atom arrays.
Modeling and simulation with Google’s compute resources
The company also plans to use its compute resources to model and simulate hardware architectures.
Experimental hardware development
A third part of the program is experimental hardware development aimed at manipulating atomic qubits at application scale.
Adam Kaufman Will Lead the Neutral Atom Effort
To lead the new program, Google has recruited Dr. Adam Kaufman, a JILA Fellow, NIST physicist, and University of Colorado Boulder professor known for his work controlling neutral atoms with optical tweezers.
Kaufman said he was thrilled to join Google’s quantum computing program and extend that leadership to the neutral atom platform, which he described as highly promising.
A new hardware team in Boulder
Kaufman will lead a hardware team that will begin with about 10 people based in Boulder, Colorado. This marks Google Quantum AI’s first presence in the state and sets the effort apart from the company’s main operations in the Seattle and Los Angeles areas.
He will also maintain a lab at JILA. Google Quantum AI chief operating officer Charina Chou said preserving those ties with JILA and CU Boulder was a major advantage.
Why Google Chose Boulder for Neutral Atom Quantum Research
Access to atomic and optical physics expertise
Google selected Boulder because of its concentration of expertise in atomic, molecular, and optical physics. The area draws on resources from CU Boulder, JILA, NIST, and nearby companies including Quantinuum and Infleqtion.
Connection to a growing quantum ecosystem
The announcement also builds on Google’s earlier investment in neutral atom startup QuEra Computing. QuEra raised $230 million in a 2025 Series B round backed in part by Google.
Zachary Yerushalmi, CEO of Elevate Quantum, said Google’s decision to base its neutral atom effort in Boulder reflects the region’s ability not only to produce world-leading quantum science, but also the talent and industry ecosystem needed to bring it to market.
What Google’s Neutral Atom Move Signals for Quantum Computing
Google’s decision to add neutral atom research shows a broader strategic expansion of its quantum program. Instead of relying on one hardware path alone, the company is now investing in two approaches with different technical advantages.
That structure gives Google a superconducting program it believes can deliver commercially relevant systems by the end of the decade, alongside a neutral atom program built around large qubit arrays, flexible connectivity, error correction work, hardware modeling, and application-scale experimental development.