TY  - GEN 
AU  - Acampora, Giovanni
AU  - Cano Gutiérrez, Carlos
AU  - Chiatto, Angela
AU  - Soto Hidalgo, José Manuel
AU  - Vitiello, Autilia
PY  - 2024
UR  - https://hdl.handle.net/10481/93556
AB  - Evolutionary Algorithms (EAs) are becoming increasingly popular for training Variational Quantum Circuits
(VQCs) due to their ability to conserve quantum resources. However, there is currently a lack of user-friendly
tools for implementing this...
LA  - eng
PB  - Elsevier
KW  - Evolutionary algorithms
KW  - Python package
KW  - Quantum computing
TI  - EVOVAQ: EVOlutionary algorithms-based toolbox for VAriational Quantum circuits
DO  - 10.1016/j.softx.2024.101756
ER  -