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quant-ph2018
Quantum advantage in training binary neural networks
Yidong Liao, Daniel Ebler, Feiyang Liu +1
The performance of a neural network for a given task is largely determined by the initial calibration of the network parameters. Yet, it has been shown that the calibration, also r…
quant-ph2018
Quantum communication in a superposition of causal orders
Sina Salek, Daniel Ebler, Giulio Chiribella
Quantum mechanics allows for situations where the relative order between two processes is entangled with a quantum degree of freedom. Here we show that such entanglement can enhanc…
quant-ph2018
Quantum speedup in the identification of cause-effect relations
Giulio Chiribella, Daniel Ebler
The ability to identify cause-effect relations is an essential component of the scientific method. The identification of causal relations is generally accomplished through statisti…