4 citations · 4 across the 3 of their papers we have counts for
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quant-ph2021
Machine learning of high dimensional data on a noisy quantum processor
Evan Peters, João Caldeira, Alan Ho +6
We present a quantum kernel method for high-dimensional data analysis using Google's universal quantum processor, Sycamore. This method is successfully applied to the cosmological…
quant-ph2019★ 4 cited
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
João Caldeira, Joshua Job, Steven H. Adachi +2
We present the application of Restricted Boltzmann Machines (RBMs) to the task of astronomical image classification using a quantum annealer built by D-Wave Systems. Morphological…