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Quantum|Artificial Intelligence

QuEra Computing Uses AI to Automate a Critical Quantum Computer Subsystem, Enabling the Acceleration of Commercial-Grade Quantum Computing Deployments from QuEra

An AI agent, Anthropic's Claude, developed and validated the control logic for the laser system in a QuEra quantum computer, recovering it in seconds versus an expert needing minutes, and holding it steadier than a specialist's manual…

Yahoo! Finance Canada

Publisher

Aug 27, 2026 at 6:00 PM UTC · 6 min de leitura

QuEra Computing Uses AI to Automate a Critical Quantum Computer Subsystem, Enabling the Acceleration of Commercial-Grade Quantum Computing Deployments from QuEra
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há 2 horas

Traduzindo…

An AI agent, Anthropic's Claude, developed and validated the control logic for the laser system in a QuEra quantum computer, recovering it in seconds versus an expert needing minutes, and holding it steadier than a specialist's manual tune. QuEra plans to extend the approach to other subsystems.

BOSTON, Aug. 27, 2026 /PRNewswire/ -- QuEra Computing, the leader in quantum computing, today announced results from its work in the Model Hardware Standard (MHS) research preview, in which an AI agent, Anthropic's Claude, performed one of the most expert-dependent jobs in operating a quantum computer: keeping its laser system on target. The agent wrote and validated its own control software, which now recovers the system in seconds with no manual intervention, obviating the need for manual work that previously required a specialist on site.

Quantum computers are moving from laboratory instruments to products customers buy and operate themselves. That transition depends less on physics than on whether a machine runs reliably without the people who built it standing next to it. QuEra's systems use lasers held at precise frequencies to control atomic qubits. Those lasers drift, and when one drifts far enough the machine stops until someone with deep and specific expertise brings it back. Every generation of machine carries more lasers than the last, and every machine at a customer site sits further from the engineers who know them best.

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