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pro vyhledávání: '"Chen, KaWai"'
We introduce a novel transpiler for the placement and routing of quantum circuits on arbitrary target hardware architectures. We use finite-horizon, and optionally discounted, reward functions to heuristically find a suitable placement and routing po
Externí odkaz:
http://arxiv.org/abs/2110.00592
Publikováno v:
IJCAI
We introduce an active learning framework for general sequence learning tasks including sequence labeling and generation. Most existing active learning algorithms mainly rely on an uncertainty measure derived from the probabilistic classifier for que