Circuit-centric quantum classifiers

2 Apr 2018Maria SchuldAlex BocharovKrysta SvoreNathan Wiebe

The current generation of quantum computing technologies call for quantum algorithms that require a limited number of qubits and quantum gates, and which are robust against errors. A suitable design approach are variational circuits where the parameters of gates are learnt, an approach that is particularly fruitful for applications in machine learning... (read more)

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