69 citations · 432 across the 25 of their papers we have counts for
26 papers
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…
Every Benchmark All at Once
Ana Silva, Eliska Greplova
As quantum technology matures, the efficient benchmarking of quantum devices remains a key challenge. Although sample-efficient, information-theoretic benchmarking techniques have…
Why is topology hard to learn?
D. O. Oriekhov, Stan Bergkamp, Guliuxin Jin +5
Much attention has been devoted to the use of machine learning to approximate physical concepts. Yet, due to challenges in interpretability of machine learning techniques, the ques…
Topological finite size effect in one-dimensional chiral symmetric systems
Guliuxin Jin, D. O. Oriekhov, Lukas Johannes Splitthoff +1
Topological phases of matter have been widely studied for their robustness against impurities and disorder. The broad applicability of topological materials relies on the reliable…
Hands-on Introduction to Randomized Benchmarking
Ana Silva, Eliska Greplova
Randomized benchmarking techniques have been an essential tool for assessing the performance of contemporary quantum devices. The goal of this tutorial is to provide a pedagogical,…
Quantum resources of quantum and classical variational methods
Thomas Spriggs, Arash Ahmadi, Bokai Chen +1
Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a…