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Google Quantum AI

Google Quantum AI

Corporate Research Lab

Appears in 2 stories

Stories

The race to scale quantum computing

New Capabilities

Running dual-track quantum program: superconducting Willow and a new neutral atom effort in Boulder

Quantum computers can already outperform classical supercomputers on specific tasks, as Google's Willow chip demonstrated when it solved in five minutes a problem that would take the fastest machines 10 septillion years. The breakthrough, announced in October 2025, marks the first verifiable quantum advantage, achieved with Google's Quantum Echoes algorithm, which is 13,000 times faster than supercomputers. But scaling from 100-qubit systems to the million-qubit machines needed for real-world applications requires control hardware that doesn't exist, and current laser systems are tabletop-sized, power-hungry, and impossible to replicate thousands of times over.

Updated 5 days ago

The race to a million qubits

New Capabilities

Developing error-corrected systems toward million-qubit goal

Quantum computers promise to revolutionize drug discovery, cryptography, and materials scienceโ€”but only if they can scale from today's dozens of qubits to millions. The bottleneck isn't the qubits themselves; it's the massive control systems: each qubit needs laser beams precisely controlled by bulky modulators, and thousands of cables snaking from room temperature into refrigerators colder than deep space. A lab rack that controls 100 qubits would need an entire data center to control a million.

Updated May 16