351 citations · 469 across the 7 of their papers we have counts for
7 papers
Automatic pulse-level calibration by tracking observables using iterative learning
Andy J. Goldschmidt, Frederic T. Chong
Model-based quantum optimal control promises to solve a wide range of critical quantum technology problems within a single, flexible framework. The catch is that highly-accurate mo…
Quantifying yeast colony morphologies with feature engineering from time-lapse photography
Andy Goldschmidt, James Kunert-Graf, Adrian C. Scott +3
Baker's yeast (Saccharomyces cerevisiae) is a model organism for studying the morphology that emerges at the scale of multi-cell colonies. To look at how morphology develops, we co…
Model predictive control for robust quantum state preparation
Andy J. Goldschmidt, Jonathan L. DuBois, Steven L. Brunton +1
A critical engineering challenge in quantum technology is the accurate control of quantum dynamics. Model-based methods for optimal control have been shown to be highly effective w…
Bilinear dynamic mode decomposition for quantum control
Andy Goldschmidt, Eurika Kaiser, Jonathan L. Dubois +2
Data-driven methods for establishing quantum optimal control (QOC) using time-dependent control pulses tailored to specific quantum dynamical systems and desired control objectives…
Particle production and equilibrium properties within a new hadron transport approach for heavy-ion collisions
J. Weil, V. Steinberg, J. Staudenmaier +10
The microscopic description of heavy-ion reactions at low beam energies is achieved within hadronic transport approaches. In this article a new approach SMASH (Simulating Many Acce…
Collision Geometry and Flow in Uranium+Uranium Collisions
Andy Goldschmidt, Zhi Qiu, Chun Shen +1
Using event-by-event viscous fluid dynamics to evolve fluctuating initial density profiles from the Monte-Carlo Glauber model for U+U collisions, we report a "knee"-like structure…