WASHINGTON, March 24 — Google said on Monday it is expanding its quantum computing program to pursue two distinct hardware approaches in parallel—superconducting qubits and neutral atom systems—as the company intensifies efforts to build commercially viable quantum machines before the end of the decade.

 

The initiative, announced by Google Quantum AI founder Hartmut Neven, marks a strategic broadening of the company’s research direction, reflecting both progress and remaining technical challenges in the race to build fault-tolerant quantum computers.

 

For more than a decade, Google has focused primarily on superconducting qubits, a technology that has already demonstrated milestones such as beyond-classical computation experiments and early forms of quantum error correction. 

 

The company now says it is increasingly confident that useful superconducting-based quantum computers could emerge by 2030.

 

However, Google is now adding a second path: neutral atom quantum computing, a system that uses individual atoms held in optical traps as qubits.

 

The two approaches differ significantly in architecture and scaling behavior. Superconducting systems operate at extremely fast cycle speeds—measured in microseconds—but face challenges in scaling qubit numbers and maintaining coherence across large systems. Neutral atom systems, by contrast, already demonstrate arrays of around 10,000 qubits but operate at slower millisecond timescales.

 

Google said the complementary strengths of both systems could accelerate progress toward practical quantum computing applications.

 

“In expert jargon, superconducting processors are easier to scale in the time dimension, while neutral atoms are easier to scale in the space dimension,” Neven said in a statement. “Investing in both approaches increases our ability to deliver on our mission.”

 

At the core of the expanded program are three technical pillars: quantum error correction, hardware modeling and simulation, and experimental hardware development.

 

Quantum error correction remains one of the most critical challenges in the field, as quantum systems are extremely sensitive to environmental noise. Google said it is adapting error correction techniques specifically to the connectivity patterns of neutral atom arrays, aiming to reduce overhead in both time and qubit resources.

 

The company also emphasized the role of advanced simulation tools, using large-scale classical computing resources to model quantum architectures, optimize performance trade-offs, and refine engineering targets before physical implementation.

 

On the hardware side, Google is working to develop atomic-scale control systems capable of manipulating qubits at application scale while maintaining fault-tolerant performance levels.

 

To lead its neutral atom efforts, Google has appointed physicist Adam Kaufman, based in Boulder, Colorado, a hub for atomic, molecular and optical physics research. Kaufman will continue his academic affiliation with University of Colorado Boulder while leading Google’s growing neutral atom hardware team.

 

The company said the expansion will also deepen collaboration with institutions and ecosystem partners such as JILA, NIST, and quantum startup QuEra Computing, which has been developing neutral atom architectures.

 

Industry experts view the move as part of a broader shift in quantum computing strategy, where leading firms are increasingly hedging bets across multiple physical implementations rather than committing to a single hardware pathway.

 

Quantum computing remains one of the most competitive frontiers in technology, with major players including Google, IBM, Microsoft, and several startups all pursuing different architectures in pursuit of scalable, fault-tolerant systems capable of solving problems beyond classical computing limits.

 

Despite progress, significant engineering hurdles remain. Chief among them are error rates, qubit stability, and the difficulty of scaling systems without exponential increases in noise and cost.

 

Still, Google’s dual-platform approach signals growing confidence that multiple quantum technologies may eventually converge toward practical, commercially relevant systems within this decade.