AI RESEARCH
Iterative Quantum Feature Maps
arXiv CS.AI
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ArXi:2506.19461v3 Announce Type: replace-cross Quantum machine learning models that leverage quantum circuits as quantum feature maps (QFMs) are recognized for their enhanced expressive power in learning tasks. Such models have nstrated rigorous end-to-end quantum speedups for specific families of classification problems. However, deploying deep QFMs on real quantum hardware remains challenging due to circuit noise and hardware constraints.