Quantum Technology Initiative Journal Club

Thursday 19 Jan 2023, 10:00 → 11:00 Europe/Zurich

513/R-070 - Openlab Space (CERN)

Michele Grossi (CERN), Sofia Vallecorsa (CERN)

Weekly meeting to present recent quantum machine learning related papers

10:00 → 11:00 Structure Learning of Quantum Embeddings

Quantum kernels require an appropriate choice of a quantum feature map,
or quantum embedding, to enhance the performance of a distance-based
classifier for supervised learning tasks. However, we rarely have enough
knowledge of the data to allow us the construction of a satisfying structure
for our embedding. We propose the use of genetic algorithms to to search
for the best structure that maximises the Kernel-Target Alignment (a
proxy metric for the accuracy of the model). We show experimentally that
our approach outperforms the trainable quantum embedding approach
based on gradient-descent optimization with respect to an artificial dataset.
https://arxiv.org/abs/2209.11144

Conveners: Alice Barthe (Leiden University (NL)), Mr Massimiliano Incudini (University Verona), Michele Grossi (CERN)

Recording