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Energy Landscapes of Variational Quantum Algorithms

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If you have a question about this talk, please contact Lila Cadi Tazi .

We’ll discuss how we can utilize the basin-hopping approach to study the optimization landscapes of VQAs for hardware-efficient, UCC and QAOA ansätze. We’ll also mention some more recent work on quantum machine learning algorithms such as variational classifiers.

https://arxiv.org/abs/2401.04784 https://pubs.acs.org/doi/10.1021/acs.jctc.2c01057

This talk is part of the Quantum Computing for Quantum Chemistry series.

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