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Research notes on robot learning, quantum inference and the evidence behind a result.
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When two quantum models fit, which control can we trust?
Two different quantum models can explain the same measurements. A small one-qubit study asks what we can still promise about a control action.
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What I look for when reading a preprint
A preprint lets us examine work before peer review. Knowing what its links and identifiers mean helps us read both the contribution and its limits.
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Why the second QANTIS paper follows the next decision
A method can work once and still struggle when used again. The second QANTIS preprint follows that question through a sequence of decisions.
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Research 2 min
What we learned from 45 experiments on IBM Heron
The most useful part of the QANTIS hardware campaign was not one impressive number. It was learning when a result changed and why.
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The last cup on the table
Clearing breakfast looks simple until a robot tries it. One cup reveals what physical AI still has to learn about helping in a changing home.
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