56 citations · 209 across the 13 of their papers we have counts for
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quant-ph2022★ 12 cited
Using (1 + 1)D Quantum Cellular Automata for Exploring Collective Effects in Large Scale Quantum Neural Networks
Edward Gillman, Federico Carollo, Igor Lesanovsky
Central to the field of quantum machine learning is the design of quantum perceptrons and neural network architectures. A key question in this regard is the impact of quantum effec…
quant-ph2022★ 8 cited
Asynchronism and nonequilibrium phase transitions in D quantum cellular automata
Edward Gillman, Federico Carollo, Igor Lesanovsky
Probabilistic cellular automata provide a simple framework for the exploration of classical nonequilibrium processes. Recently, quantum cellular automata have been proposed that re…