86 citations · 223 across the 10 of their papers we have counts for
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quant-ph2019★ 31 cited
Charged particle tracking with quantum annealing-inspired optimization
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant +4
At the High Luminosity Large Hadron Collider (HL-LHC), traditional track reconstruction techniques that are critical for analysis are expected to face challenges due to scaling wit…
quant-ph2019★ 22 cited
Quantum adiabatic machine learning with zooming
Alexander Zlokapa, Alex Mott, Joshua Job +3
Recent work has shown that quantum annealing for machine learning, referred to as QAML, can perform comparably to state-of-the-art machine learning methods with a specific applicat…