activity
20122024
most citedQuantum Entanglement of High Angular Momenta

868 citations · 9.4k across the 68 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

astro-ph.IM2023★ 2 cited

Digital Discovery of interferometric Gravitational Wave Detectors

Mario Krenn, Yehonathan Drori, Rana X Adhikari

Gravitational waves, detected a century after they were first theorized, are spacetime distortions caused by some of the most cataclysmic events in the universe, including black ho…

quant-ph2023★ 2 cited

Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments

Tareq Jaouni, Sören Arlt, Carlos Ruiz-Gonzalez +3

Despite their promise to facilitate new scientific discoveries, the opaqueness of neural networks presents a challenge in interpreting the logic behind their findings. Here, we use…

physics.optics2023★ 11 cited

XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy

Carla Rodríguez, Sören Arlt, Leonhard Möckl +1

Driven by human ingenuity and creativity, the discovery of super-resolution techniques, which circumvent the classical diffraction limit of light, represent a leap in optical micro…

quant-ph2023★ 3 cited

Experimental Solutions to the High-Dimensional Mean King's Problem

Tareq Jaouni, Xiaoqin Gao, Sören Arlt +2

In 1987, Vaidman, Aharanov, and Albert put forward a puzzle called the Mean King's Problem (MKP) that can be solved only by harnessing quantum entanglement. Prime-powered solutions…

quant-ph2023★ 1 cited

Quantum interference between distant creation processes

Johannes Pseiner, Manuel Erhard, Mario Krenn

The search for macroscopic quantum phenomena is a fundamental pursuit in quantum mechanics. It allows us to test the limits quantum physics and provides new avenues for exploring t…

physics.chem-ph2023★ 25 cited

Recent advances in the Self-Referencing Embedding Strings (SELFIES) library

Alston Lo, Robert Pollice, AkshatKumar Nigam +3

String-based molecular representations play a crucial role in cheminformatics applications, and with the growing success of deep learning in chemistry, have been readily adopted in…