https://doi.org/10.1140/epjqt/s40507-024-00238-w
Research
Efficient excitation-transfer across fully connected networks via local-energy optimization
1
Centre for Quantum Materials and Technologies, School of Mathematics and Physics, Queen’s University Belfast, BT7 1NN, Belfast, United Kingdom
2
Department of Physics and Astronomy, University of Aarhus, Ny Munkegade, Building 1520, DK-8000, Aarhus C, Denmark
3
Dipartimento di Fisica e Chimica—Emilio Segrè, Università degli Studi di Palermo, via Archirafi 36, I-90123, Palermo, Italy
d mauro.paternostro@unipa.it, m.paternostro@qub.ac.uk
Received:
6
January
2024
Accepted:
4
April
2024
Published online:
19
April
2024
We study the excitation transfer across a fully connected quantum network whose sites energies can be artificially designed. Starting from a simplified model of a broadly-studied physical system, we systematically optimize its local energies to achieve high excitation transfer for various environmental conditions, using an adaptive Gradient Descent technique and Automatic Differentiation. We show that almost perfect transfer can be achieved with and without local dephasing, provided that the dephasing rates are not too large. We investigate our solutions in terms of resilience against variations in either the network connection strengths, or size, as well as coherence losses. We highlight the different features of a dephasing-free and dephasing-driven transfer. Our work gives further insight into the interplay between coherence and dephasing effects in excitation-transfer phenomena across fully connected quantum networks. In turn, this will help designing optimal transfer in artificial open networks through the simple manipulation of local energies.
© The Author(s) 2024
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