Linus Menzel
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Analysis of quantum neural network performance via edge cases Open
We evaluate the particular performance of different quantum machine learning networks on a graph classification task. Quantum circuits with varying internal symmetry that completely, partially and not at all confer to the symmetry of the g…
Clique detection using symmetry-restricted quantum circuits Open
We show the application of permutation-invariant quantum circuits to the clique problem. The experiment asks to label a clique through identification of the nodes in a larger subgraph. The permutation-invariant quantum circuit outperforms …
View article: Solving graph problems using permutation-invariant quantum machine learning
Solving graph problems using permutation-invariant quantum machine learning Open
Many computational problems are unchanged under some symmetry operation. In classical machine learning, this can be reflected with the layer structure of the neural network. In quantum machine learning, the ansatz can be tuned to correspon…