A quantum neural network with efficient optimization and interpretability. (arXiv:2211.05793v1 [quant-ph])

As the quantum counterparts to the classical artificial neural networks
underlying widespread machine-learning applications, unitary-based quantum
neural networks are active in various fields of quantum computation. Despite
the potential, their developments have been hampered by the elevated cost of
optimizations and difficulty in realizations. Here, we propose a quantum neural
network in the form of fermion models whose physical properties, such as the
local density of states and conditional conductance, serve as outputs, and
establish an efficient optimization comparable to …

arxiv interpretability network neural network optimization quantum quantum neural network