no code implementations • 6 Feb 2023 • Rowan Pellow-Jarman, Anban Pillay, Ilya Sinayskiy, Francesco Petruccione
Kernel-target alignment is faster to evaluate than accuracy and doesn't require some data points to be reserved for its evaluation.
2 code implementations • 26 Oct 2022 • Matt Lourens, Ilya Sinayskiy, Daniel K. Park, Carsten Blank, Francesco Petruccione
The QCNN is a circuit model inspired by the architecture of Convolutional Neural Networks (CNNs).
no code implementations • 11 Dec 2014 • Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
It is well known that for certain tasks, quantum computing outperforms classical computing.
Quantum Physics
no code implementations • 11 Dec 2014 • Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
Perceptrons are the basic computational unit of artificial neural networks, as they model the activation mechanism of an output neuron due to incoming signals from its neighbours.