activity
20182026
collaborators
Showing quant-phShow all

12 papers · 1 filter

quant-ph2026

Amplification of bosonic interactions through squeezing in the presence of decoherence

Ankit Tiwari, Cecilia Cormick, Christian Arenz

We consider the amplification of bosonic interactions through parametric control that implements squeezing along orthogonal quadratures. We show that bosonic interactions described…

quant-ph2024

Loss tolerant cross-Kerr enhancement via modulated squeezing

Ankit Tiwari, Daniel Burgarth, Linran Fan +2

We develop squeezing protocols to enhance cross-Kerr interactions. We show that through alternating between squeezing along different quadratures of a single photonic mode, the cro…

quant-ph2021

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…

quant-ph2020

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…

quant-ph2020

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…

quant-ph2020

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…