49 citations · 66 across the 2 of their papers we have counts for
2 papers
quant-ph2019★ 17 cited
Scalable Bayesian Hamiltonian learning
Tim J. Evans, Robin Harper, Steven T. Flammia
As the size of quantum devices continues to grow, the development of scalable methods to characterise and diagnose noise is becoming an increasingly important problem. Recent metho…
quant-ph2019★ 49 cited
Statistical analysis of randomized benchmarking
Robin Harper, Ian Hincks, Chris Ferrie +2
Randomized benchmarking and variants thereof, which we collectively call RB+, are widely used to characterize the performance of quantum computers because they are simple, scalable…