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Eric R. Anschuetz

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2020 – today

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2024
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  - journals/corr/abs-2402-08606
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Eric R. Anschuetz, Xun Gao:
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning. CoRR abs/2402.08606 (2024)
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  - journals/corr/abs-2408-11901
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Eric R. Anschuetz:
A Unified Theory of Quantum Neural Network Loss Landscapes. CoRR abs/2408.11901 (2024)
2023
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  - journals/corr/abs-2312-09121
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Marco Cerezo, Martin Larocca, Diego García-Martín, Nelson L. Diaz, Paolo Braccia, Enrico Fontana, Manuel S. Rudolph, Pablo Bermejo, Aroosa Ijaz, Supanut Thanasilp, Eric R. Anschuetz, Zoë Holmes:
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing. CoRR abs/2312.09121 (2023)

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