When we just started out our research focused on the intersection of Condensed matter physics and AI, and the group was aptly named “CAI“. Over the course of a few years the focus became broader than ‘just’ condensed matter physics, and started encompassing other quantum-related topics as well as a more interpretability-style analysis of what the resulting AI methods did with quantum problems.
You should know that many of the research projects share a common underlying theme. Some are more ‘quantum control’-like (i.e. “how do we control this particular quantum system?”), others are more ‘quantum strategy’-like i.e. “how do decode errors for this quantum code?”), and yet others are more ‘quantum machine learning’-like (i.e. “would a quantum circuit perform better at this learning task than other standard neural network architectures?”). The common theme here is that all of these can be related to, or evaluated as, “quantum games”. Better control gives you a higher score, a better decoder gives you a higher score, and a better learner gives you a higher score. The acronym for the group now reflects this, avoiding the explicit word “games”, through the pronunciation of “plai” as the word “play” :).
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