35 citations · 97 across the 9 of their papers we have counts for
15 papers · 1 filter
Provable superior accuracy in machine learned quantum models
Chengran Yang, Andrew Garner, Feiyang Liu +5
In modelling complex processes, the potential past data that influence future expectations are immense. Models that track all this data are not only computationally wasteful but al…
Probe optimization for quantum metrology via closed-loop learning control
Xiaodong Yang, Jayne Thompson, Ze Wu +3
Experimentally achieving the precision that standard quantum metrology schemes promise is always challenging. Recently, additional controls were applied to design feasible quantum…
A high fidelity heralded squeezing gate
Jie Zhao, Kui Liu, Jeng Hao +4
A universal squeezing gate capable of squeezing arbitrary input states is essential for continuous-variable quantum computation~\cite{PRA79062318,PRL112120504}. However, in present…
Boosting on the shoulders of giants in quantum device calibration
Alex Wozniakowski, Jayne Thompson, Mile Gu +1
Traditional machine learning applications, such as optical character recognition, arose from the inability to explicitly program a computer to perform a routine task. In this conte…
Maximum entanglement of formation for a two-mode Gaussian state over passive operations
Spyros Tserkis, Jayne Thompson, Austin P. Lund +4
We quantify the maximum amount of entanglement of formation (EoF) that can be achieved by continuous-variable states under passive operations, which we refer to as EoF-potential. F…
Thermodynamic resources in continuous-variable quantum systems
Varun Narasimhachar, Syed Assad, Felix C. Binder +3
Thermodynamic resources, beyond their well-known usefulness in work extraction and other thermodynamic tasks, are often important also in tasks that are not evidently thermodynamic…