A fermionic neural network is a type of quantum neural network specifically designed to represent and manipulate fermionic states, which obey the Pauli exclusion principle. These networks utilize quantum mechanics to efficiently model complex quantum systems, making them particularly useful in tasks such as quantum chemistry and materials science. By leveraging the unique properties of fermions, these networks can capture correlations and entanglements that are fundamental in quantum systems.
congrats on reading the definition of fermionic neural network. now let's actually learn it.