670 citations · 901 across the 5 of their papers we have counts for
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Contextuality and inductive bias in quantum machine learning
Joseph Bowles, Victoria J Wright, Máté Farkas +2
Generalisation in machine learning often relies on the ability to encode structures present in data into an inductive bias of the model class. To understand the power of quantum ma…
Quantum computing for pattern classification
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
It is well known that for certain tasks, quantum computing outperforms classical computing. A growing number of contributions try to use this advantage in order to improve or exten…
Simulating a perceptron on a quantum computer
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.…
The quest for a Quantum Neural Network
M. Schuld, I. Sinayskiy, F. Petruccione
With the overwhelming success in the field of quantum information in the last decades, the "quest" for a Quantum Neural Network (QNN) model began in order to combine quantum comput…
Quantum walks on graphs representing the firing patterns of a quantum neural network
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
Quantum walks have been shown to be fruitful tools in analysing the dynamic properties of quantum systems. This article proposes to use quantum walks as an approach to Quantum Neur…