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Andrew J. Daley

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Preprint Jul 2026

Variational Learning with Sparse Long-range Entangling Gates

This work examines when structured long-range connectivity provides a useful resource, focusing on sparse power-of-two (PWR2) coupling graphs, and identifies circuit geometry and qubit reconfigurability as task-dependent resources for variational algorithms.

Helene M. Losl, Aydin Deger, Andrew J. Daley · 0 citations

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