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Microsoft is leveraging agentic AI to automate complex workflows and accelerate the development of its Majorana 2 quantum chip, aiming for a commercially viable system by 2029. This strategy significantly reduces experimental cycle times by enabling the analysis of decades of research data and optimizing materials discovery. The move signals a broader industry shift where AI agents transition from passive tools to active partners in high-stakes scientific engineering.
AI-Powered Quantum: Microsoft Turns to Agentic AI to Speed Quantum Computing Push

Insider Brief As quantum AI — the idea that quantum computers could one day enhance artificial intelligence — steadily climbs the list of anticipated quantum computing use cases, Microsoft says AI is already playing a growing role in advancing its quantum computing program. The company said it is increasingly relying on agentic artificial intelligence to […]
Microsoft is using agentic AI throughout its quantum computing program to accelerate the development of its Majorana 2 chip, automate research workflows and support its goal of building a commercially useful quantum computer by 2029. The company says AI agents help scientists analyze nearly two decades of research data, identify patterns across disciplines, manage complex engineering dependencies and uncover manufacturing issues that might otherwise go unnoticed. Microsoft reports that agentic AI has significantly reduced experimental cycle times by automating measurements, optimizing materials research and enabling researchers to test and refine quantum device designs more efficiently. Image: At Microsoft’s Quantum Lab in Lyngby, Denmark, scientists, software engineers and fabrication experts are using agentic AI across many of their processes to speed the development of more reliable topological qubits. (Microsoft) As quantum AI — the idea that quantum computers could one day enhance artificial intelligence…
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