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Quantum technology implementation
From quantum potential to practical progress.
QuIT Labs works with research groups, startups, and R&D organizations on the assessment, construction, automation, and integration of experimental systems.
Technical work grounded in research context
We focus on the parts of quantum and laboratory work where scientific assumptions, instruments, software, electronics, and data handling have to fit together.
Strategy and feasibility
We examine whether a proposed technology is plausible, useful for the intended setting, and mature enough to justify further work.
Software, electronics, and automation
We build control software, instrumentation interfaces, electronics modules, data pipelines, and automation routines around the constraints of the actual experimental setup.
Machine learning for experiments
We use machine learning selectively, for example in instrument tuning, data analysis, optimization, or adaptive control, when the method is justified by the experiment.