54 citations · 190 across the 8 of their papers we have counts for
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quant-ph2023
Compilation of product-formula Hamiltonian simulation via reinforcement learning
Lea M. Trenkwalder, Eleanor Scerri, Thomas E. O'Brien +1
Hamiltonian simulation is believed to be one of the first tasks where quantum computers can yield a quantum advantage. One of the most popular methods of Hamiltonian simulation is…
quant-ph2023★ 12 cited
Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning
Francesco Preti, Michael Schilling, Sofiene Jerbi +4
Shortening quantum circuits is crucial to reducing the destructive effect of environmental decoherence and enabling useful algorithms. Here, we demonstrate an improvement in such c…