5 papers
Cross-Platform Autonomous Control of Minimal Kitaev Chains
David van Driel, Rouven Koch, Vincent P. M. Sietses +21
Contemporary quantum devices are reaching new limits in size and complexity, allowing for the experimental exploration of emergent quantum modes. However, this increased complexity…
Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models
Vinicius Hernandes, Joseph Rogers, Rouven Koch +5
Efficiently characterizing quantum dot (QD) devices is a critical bottleneck when scaling quantum processors based on confined spins. Measuring high-resolution charge stability dia…
Hamiltonian learning quantum magnets with dynamical impurity tomography
Netta Karjalainen, Greta Lupi, Rouven Koch +2
Nanoscale engineered spin systems, ranging from spins on surfaces to nanographenes, provide flexible platforms to realize entangled quantum magnets from a bottom up approach. Howev…
Hamiltonian Learning of Triplon Excitations in an Artificial Nanoscale Molecular Quantum Magnet
Rouven Koch, Robert Drost, Peter Liljeroth +1
Extracting the Hamiltonian parameters of nanoscale quantum magnets from experimental measurements is a significant challenge in quantum matter. Here we establish a machine learning…
Modern applications of machine learning in quantum sciences
Anna Dawid, Julian Arnold, Borja Requena +26
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learn…