LCSR Seminar Series | Piccolo.jl: Fine-Tuned Quantum Control, Inspired by Robotics Description Andy Goldschmidt, a quantum scientist at Johns Hopkins Applied Physics Lab, will give a talk titled "Piccolo.jl: Fine-Tuned Quantum Control, Inspired by Robotics" for the Laboratory for Computational Sensing + Robotics. Piccolo.jl provides an accessible open-source ecosystem for designing and calibrating high-fidelity controls for quantum computing. Quantum control benefits from algorithms that can systematically manage practical engineering requirements like minimum-time control, leakage suppression, hardware limitations, and noise robustness. The first part of the talk will explain the algorithms and design choices that make Piccolo.jl useful for experimental workflows, from rapid prototyping to closed-loop refinement against device data. The second part will highlight some recent examples of the creative ways to utilize Piccolo.jl for quantum science and engineering, and some lessons from getting control designs to work on real hardware. We will also mention some new developments in the Piccolo.jl ecosystem focused on systematic control at scale. Andy Goldschmidt works on architectures and applications of quantum computers at Johns Hopkins Applied Physics Lab. He was an IC postdoctoral fellow in computer science at the University of Chicago with Fred Chong, where he focused on novel control and readout schemes for gate-based quantum computing. Goldschmidt is co-developer of Piccolo.jl, an open-source ecosystem for quantum control—the output of a collaboration with Zac Manchester's group at Carnegie Mellon University Robotics Institute. Who can attend? - General public - Faculty - Staff - Students