2 papers
quant-ph2025
Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware
Djamil Lakhdar-Hamina, Xingxin Liu, Richard Barney +4
We implement a quantum generalization of a neural network on trapped-ion and IBM superconducting quantum computers to classify MNIST images, a common benchmark in computer vision.…
quant-ph2025
Natural Quantization of Neural Networks
Richard Barney, Djamil Lakhdar-Hamina, Victor Galitski
We propose a natural quantization of a standard neural network, where the neurons correspond to qubits and the activation functions are implemented via quantum gates and measuremen…