10 papers
Progress toward favorable landscapes in quantum combinatorial optimization
Juneseo Lee, Alicia B. Magann, Herschel A. Rabitz +1
The performance of variational quantum algorithms relies on the success of using quantum and classical computing resources in tandem. Here, we study how these quantum and classical…
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…
Assessing three closed-loop learning algorithms by searching for high-quality quantum control pulses
Xiao-dong Yang, Christian Arenz, Istvan Pelczer +4
Designing a high-quality control is crucial for reliable quantum computation. Among the existing approaches, closed-loop leaning control is an effective choice. Its efficiency depe…
Drawing together control landscape and tomography principles
Christian Arenz, Herschel Rabitz
The ability to control quantum systems using shaped fields as well as to infer the states of such controlled systems from measurement data are key tasks in the design and operation…
Complete Quantum-State Tomography with a Local Random Field
Pengcheng Yang, Min Yu, Ralf Betzholz +2
Single-qubit measurements are typically insufficient for inferring arbitrary quantum states of a multi-qubit system. We show that if the system can be fully controlled by driving a…
Emerging unitary evolutions in dissipatively coupled systems
C. Arenz, A. Metelmann
Having a broad range of methods available for implementing unitary operations is crucial for quantum information tasks. We study a dissipative process commonly used to describe dis…