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Haiqu's AgenticOS addresses the critical reliability gap where general AI agents introduce subtle scientific errors or violate experimental protocols in quantum research. By coordinating specialized agents to validate every step against human oversight, the system successfully reduced circuit depth by 75% and maintained protocol integrity in chemistry simulations. This tool represents a significant advancement for automating complex quantum experiment design while ensuring result accuracy before hardware execution.
Haiqu Releases AgenticOS to Plan and Check Quantum Research
Insider Brief PRESS RELEASE — Existing AI models have advanced to the point that they can contribute to real science, but they have their limits. An AI agent can produce convincing math and working code, but it might alter the underlying science while doing so, leaving researchers with results that look right but aren’t. Today, Haiqu is […]
Haiqu launched AgenticOS, a system that coordinates specialized AI agents to plan, validate and prepare quantum research experiments for hardware execution under human oversight. In a chemistry test, Haiqu reported that four of 10 unassisted AI agent runs violated setup instructions, while AgenticOS maintained the approved protocol and produced a simulated result within approximately 3.4% of an exact reference. Haiqu reported that AgenticOS developed and ran a 3-by-3 Hubbard model experiment on an IBM quantum computer, reducing circuit depth by 75% and proposing a calibration that aligned hardware results with an error-free…
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