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How Google Quantum AI Is Advancing Both Superconducting and Neutral Atom Qubits

25 Mar, 2026
How Google Quantum AI Is Advancing Both Superconducting and Neutral Atom Qubits

Google Quantum AI announced it is expanding its quantum computing research to include neutral atom technology alongside its existing superconducting approach (24/03).

The initiative aims to accelerate progress toward solving problems that cannot be addressed with classical computing systems.

According to Hartmut Neven, the organization has spent more than a decade developing superconducting qubits and has achieved milestones such as beyond-classical performance, error correction, and verifiable quantum advantage.

The company stated it is increasingly confident that commercially relevant superconducting quantum computers will be available by the end of this decade.

Superconducting and Neutral Atom Approaches Offer Complementary Strengths

Google said it is adopting two quantum computing modalities to leverage their different advantages.

Superconducting qubits have scaled to circuits with millions of gate and measurement cycles, each lasting a microsecond.

Neutral-atom systems have been scaled to arrays of about 10,000 qubits, offering flexible connectivity despite slower cycle times measured in milliseconds.

The company noted that neutral atom systems still need to demonstrate deep circuits with many cycles, while superconducting systems must advance toward architectures with tens of thousands of qubits.

Researchers describe superconducting processors as easier to scale in time, while neutral atom systems are easier to scale in space.

Google Builds Neutral Atom Program on Three Core Pillars

Google outlined a structured research program to support its neutral atom initiative.

The first pillar focuses on quantum error correction, adapting methods to the connectivity of neutral atom arrays while maintaining low overhead.

The second pillar involves modeling and simulation, using computing resources to simulate hardware architectures and refine performance targets.

The third pillar centers on experimental hardware development to enable manipulation of atomic qubits at application scale with fault-tolerant performance.

Leadership and Partnerships Strengthen Quantum Ecosystem

To lead experimental efforts, Google appointed Adam Kaufman, who will head the neutral atom hardware team based in Boulder.

“I am thrilled to join Google's world-leading program in quantum computing, and to expand that leadership to a new and highly promising platform of neutral atoms,” Kaufman said.

He will continue his roles as a fellow at JILA and a faculty member at the University of Colorado Boulder.

Google also plans to continue collaborating with QuEra, whose researchers have contributed foundational methods to neutral-atom computing.

The company stated that its efforts are supported by collaboration with institutions, including NIST and other organizations within the Boulder quantum ecosystem.

Confidence in Advancing Large-Scale Quantum Computing

Google stated it is confident in addressing the remaining challenges in physics and engineering required for large-scale quantum computing systems.

The company described the effort as both a significant challenge and an important step toward advancing quantum computing capabilities.



PHOTO: GOOGLE

This article was created with AI assistance.

We make every effort to ensure the accuracy of our content, some information may be incorrect or outdated. Please let us know of any corrections at [email protected].

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