211 citations · 264 across the 9 of their papers we have counts for
Showing 2022 · quant-phShow all
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quant-ph2022★ 19 cited
Quantum Annealing for Jet Clustering with Thrust
Andrea Delgado, Jesse Thaler
Quantum computing holds the promise of substantially speeding up computationally expensive tasks, such as solving optimization problems over a large number of elements. In high-ene…
quant-ph2022
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
Travis S. Humble, Andrea Delgado, Raphael Pooser +23
Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phe…
quant-ph2022★ 19 cited
Unsupervised Quantum Circuit Learning in High Energy Physics
Andrea Delgado, Kathleen E. Hamilton
Unsupervised training of generative models is a machine learning task that has many applications in scientific computing. In this work we evaluate the efficacy of using quantum cir…