Projects

Open source software

Piccolo.jl

Fine tuned quantum control inspired by robotics, offerred by Harmoniqs and written in Julia.

Harmoniqs is a startup and open-source ecosystem that I co-founded because quantum computing scientists and engineers should have easy access to state-of-the-art optimal control and calibration solutions.

Research projects

My research focuses on novel applications of optimal control for quantum computing, fast automated calibration of control pulses, learning models for quantum devices, and new methods for optimal control of quantum systems.

I am currently interested in accelerated computing for quantum control (GPUs, HPC), and bosonic quantum error correction.

Crosstalk-Robust Gate Sets

Globally suppress crosstalk on a quantum computer using orthogonal gate sets.

Quantum Iterative Learning Control

Highly-efficient, model-based calibration of quantum optimal control pulses.

Quantum Trajectory Bundles

Massively-parallel, derivative-free quantum optimal control.

Optimal control and neural networks can efficiently interpolate gates

Combine a coordinated optimal control problem with neural networks to efficiently synthesize (and calibrate) pulses that interpolate among continously-parameterized gate families.

Robust quantum state prep with MPC

Model predictive control (MPC) enables robust quantum operations using device feedback.

Learn quantum control models from data with BiDMD

Build control models of quantum devices directly from data via a bilinear dynamic mode decomposition (DMD), and extend the idea to stroboscopic measurements using Floquet theory.