35 citations · 50 across the 7 of their papers we have counts for
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quant-ph2026
Learning ground state observables from quantum computing experiments
Ben Jaderberg, Freya Shah, Minjun Jeon +3
Recent theoretical progress has established conditions under which machine learning models can efficiently predict ground-state properties of gapped local Hamiltonians when trained…
quant-ph2026
Setting angles in quantum approximate optimization at utility-scale
Maosheng Guo, Joel Jurado Diaz, Anurag Ramesh +16
The quantum approximate optimization algorithm (QAOA) is a powerful heuristic that seeks to solve combinatorial optimization problems using quantum hardware and classical optimizat…