10 citations · 17 across the 4 of their papers we have counts for
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quant-ph2020★ 4 cited
Certified Randomness From Steering Using Sequential Measurements
Brian Coyle, Elham Kashefi, Matty Hoban
The generation of certifiable randomness is one of the most promising applications of quantum technologies. Furthermore, the intrinsic non-locality of quantum correlations allow us…
quant-ph2020
Quantum versus Classical Generative Modelling in Finance
Brian Coyle, Maxwell Henderson, Justin Chan Jin Le +3
Finding a concrete use case for quantum computers in the near term is still an open question, with machine learning typically touted as one of the first fields which will be impact…
quant-ph2020
Robust data encodings for quantum classifiers
Ryan LaRose, Brian Coyle
Data representation is crucial for the success of machine learning models. In the context of quantum machine learning with near-term quantum computers, equally important considerat…