68 citations · 257 across the 18 of their papers we have counts for
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quant-ph2022★ 40 cited
Analyzing Prospects for Quantum Advantage in Topological Data Analysis
Dominic W. Berry, Yuan Su, Casper Gyurik +7
Lloyd et al. were first to demonstrate the promise of quantum algorithms for computing Betti numbers, a way to characterize topological features of data sets. Here, we propose, ana…
quant-ph2022★ 10 cited
On establishing learning separations between classical and quantum machine learning with classical data
Casper Gyurik, Vedran Dunjko
Despite years of effort, the quantum machine learning community has only been able to show quantum learning advantages for certain contrived cryptography-inspired datasets in the c…
quant-ph2022★ 37 cited
High Dimensional Quantum Machine Learning With Small Quantum Computers
Simon C. Marshall, Casper Gyurik, Vedran Dunjko
Quantum computers hold great promise to enhance machine learning, but their current qubit counts restrict the realisation of this promise. In an attempt to placate this limitation…