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Quantum Architecture Search with Unsupervised Representation Learning
Most QAS algorithms combine their search space and search algorithms together and thus generally require evaluating a large number of quantum circuits during the search process.
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
However, the pre-defined circuit needs more flexibility for different tasks, and the circuit design based on various datasets could become intractable in the case of a large circuit.
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