105 citations · 532 across the 22 of their papers we have counts for
22 papers
The Top Manifold Connectedness of Quantum Control Landscapes
Yidian Fan, Re-Bing Wu, Tak-San Ho +2
The control of quantum systems has been proven to possess trap-free optimization landscapes under the satisfaction of proper assumptions. However, many details of the landscape geo…
Efficient Hamiltonian encoding algorithms for extracting quantum control mechanism as interfering pathway amplitudes in the Dyson series
Erez Abrams, Michael Kasprzak, Gaurav Bhole +2
Hamiltonian encoding is a methodology for revealing the mechanism behind the dynamics governing controlled quantum systems. In this paper, following Mitra and Rabitz [Phys. Rev. A…
Quantum tracking control of the orientation of symmetric top molecules
Alicia B. Magann, Tak-San Ho, Christian Arenz +1
The goal of quantum tracking control is to identify shaped fields to steer observable expectation values along designated time-dependent tracks. The fields are determined via an it…
From pulses to circuits and back again: A quantum optimal control perspective on variational quantum algorithms
Alicia B. Magann, Christian Arenz, Matthew D. Grace +5
The last decade has witnessed remarkable progress in the development of quantum technologies. Although fault-tolerant devices likely remain years away, the noisy intermediate-scale…
Quantum System Compression: A Hamiltonian Guided Walk Through Hilbert Space
Robert L. Kosut, Tak-San Ho, Herschel Rabitz
We present a systematic study of quantum system compression for the evolution of generic many-body problems. The necessary numerical simulations of such systems are seriously hinde…
Optimal control of interacting quantum systems based on the first-order Magnus approximation: Application to multiple dipole-dipole coupled molecular rotors
Andrew Ma, Alicia B. Magann, Tak-San Ho +1
We develop a methodology for performing approximate optimal control simulations for quantum systems with multiple interacting degrees of freedom. The quantum dynamics are modeled u…