142 citations · 200 across the 5 of their papers we have counts for
5 papers
QDFlow: A Python package for physics simulations of quantum dot devices
Donovan L. Buterakos, Sandesh S. Kalantre, Joshua Ziegler +2
Recent advances in machine learning (ML) have accelerated progress in calibrating and operating quantum dot (QD) devices. However, most ML approaches rely on access to large, repre…
End-to-End Analysis of Charge Stability Diagrams with Transformers
Rahul Marchand, Lucas Schorling, Cornelius Carlsson +8
Transformer models and end-to-end learning frameworks are rapidly revolutionizing the field of artificial intelligence. In this work, we apply object detection transformers to anal…
Operating two exchange-only qubits in parallel
Mateusz T. Mądzik, Florian Luthi, Gian Giacomo Guerreschi +38
Semiconductors are among the most promising platforms to implement large-scale quantum computers, as advanced manufacturing techniques allow fabrication of large quantum dot arrays…
12-spin-qubit arrays fabricated on a 300 mm semiconductor manufacturing line
Hubert C. George, Mateusz T. Mądzik, Eric M. Henry +29
Intels efforts to build a practical quantum computer are focused on developing a scalable spin-qubit platform leveraging industrial high-volume semiconductor manufacturing expertis…
Probing single electrons across 300 mm spin qubit wafers
Samuel Neyens, Otto K. Zietz, Thomas F. Watson +27
Building a fault-tolerant quantum computer will require vast numbers of physical qubits. For qubit technologies based on solid state electronic devices, integrating millions of qub…