11 citations · 17 across the 5 of their papers we have counts for
5 papers
Variational quantum algorithm for enhanced continuous variable optical phase sensing
Jens A. H. Nielsen, Mateusz Kicinski, Tummas N. Arge +7
Variational quantum algorithms (VQAs) are hybrid quantum-classical approaches used for tackling a wide range of problems on noisy intermediate-scale quantum (NISQ) devices. Testing…
On convex decision regions in deep network representations
Lenka Tětková, Thea Brüsch, Teresa Karen Scheidt +5
Current work on human-machine alignment aims at understanding machine-learned latent spaces and their correspondence to human representations. G{ä}rdenfors' conceptual spaces is a…
Can shallow quantum circuits scramble local noise into global white noise?
Jonathan Foldager, Bálint Koczor
Shallow quantum circuits are believed to be the most promising candidates for achieving early practical quantum advantage - this has motivated the development of a broad range of e…
On the role of Model Uncertainties in Bayesian Optimization
Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen +1
Bayesian optimization (BO) is a popular method for black-box optimization, which relies on uncertainty as part of its decision-making process when deciding which experiment to perf…
Noise-Assisted Variational Quantum Thermalization
Jonathan Foldager, Arthur Pesah, Lars Kai Hansen
Preparing thermal states on a quantum computer can have a variety of applications, from simulating many-body quantum systems to training machine learning models. Variational circui…