49 citations · 356 across the 18 of their papers we have counts for
3 papers · 2 filters
Hamiltonian Learning with Online Bayesian Experiment Design in Practice
Ian Hincks, Thomas Alexander, Michal Kononenko +2
Estimating parameters of quantum systems is usually done by performing a sequence of predetermined experiments and post-processing the resulting data. It is known that online desig…
Methods for preparation and detection of neutron spin-orbit states
D. Sarenac, J. Nsofini, I. Hincks +5
The generation and control of neutron orbital angular momentum (OAM) states and spin correlated OAM (spin-orbit) states provides a powerful probe of materials with unique penetrati…
Bayesian Inference for Randomized Benchmarking Protocols
Ian Hincks, Joel J. Wallman, Chris Ferrie +2
Randomized benchmarking (RB) protocols are standard tools for characterizing quantum devices. Prior analyses of RB protocols have not provided a complete method for analyzing reali…