19 citations · 40 across the 4 of their papers we have counts for
5 papers
Optimal Control of a Fluxonium Circuit with the Q-PRONTO Numerical Method
John Barta, Brian D. Isakov, Pablo Aramburu Sanchez +5
Optimizing the control of large quantum systems is a resource-intensive task, where the convergence rate of the underlying iterative schemes is crucial. The recently developed Quan…
Engineering multi-mode bosonic squeezed states using Monte-Carlo optimization
Jieqiu Shao, Diego A. R. Dalvit, Lukasz Cincio +1
Bosonic systems, such as photons and ultracold atoms, have played a central role in demonstrating quantum-enhanced sensing. Quantum entanglement, through squeezed and GHZ states, e…
Solving quantum optimal control problems using projection-operator-based Newton steps
Jieqiu Shao, Mantas Naris, John Hauser +1
The Quantum Projection Operator-Based NewtonMethod for Trajectory Optimization (Q-PRONTO) is a numerical method for solving quantum optimal control problems. This paper significant…
Demonstration of a programmable optical lattice atom interferometer
Catie LeDesma, Kendall Mehling, Jieqiu Shao +5
Performing interferometry in an optical lattice formed by standing waves of light offers potential advantages over its free-space equivalents since the atoms can be confined and ma…
A Projection Operator-based Newton Method for the Trajectory Optimization of Closed Quantum Systems
Jieqiu Shao, Joshua Combes, John Hauser +1
Quantum optimal control is an important technology that enables fast state preparation and gate design. In the absence of an analytic solution, most quantum optimal control methods…