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Google Quantum AI

Google Quantum AI

Corporate Research Lab

Appears in 2 stories

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The race to scale quantum computing

New Capabilities

Google's quantum computing research division, operating from Santa Barbara, California. - Leading quantum error correction development

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

Updated Dec 28, 2025

The race to a million qubits

New Capabilities

Achieved exponential error reduction milestone with Willow chip in late 2024. - Developing error-corrected systems toward million-qubit goal

Quantum computers promise to revolutionize drug discovery, cryptography, and materials science—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 Dec 28, 2025