229 citations · 690 across the 16 of their papers we have counts for
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quant-ph2022★ 40 cited
Experimental benchmarking of an automated deterministic error suppression workflow for quantum algorithms
Pranav S. Mundada, Aaron Barbosa, Smarak Maity +8
Excitement about the promise of quantum computers is tempered by the reality that the hardware remains exceptionally fragile and error-prone, forming a bottleneck in the developmen…
quant-ph2021★ 120 cited
Experimental Deep Reinforcement Learning for Error-Robust Gateset Design on a Superconducting Quantum Computer
Yuval Baum, Mirko Amico, Sean Howell +6
Quantum computers promise tremendous impact across applications -- and have shown great strides in hardware engineering -- but remain notoriously error prone. Careful design of low…