Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastiaan L. D. ten Haaf, Yining Zhang, Qingzhen Wang, Alberto Bordin, Chun-Xiao Liu | Summary: A chain of quantum dots (QDs) coupled via semiconductor-superconductor hybrid regions can form an artificial Kitaev chain hosting Majorana bound states (MBSs). These zero-energy states are expected to be localised on the […]
Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastiaan L. D. ten Haaf, Yining Zhang, Qingzhen Wang, Alberto Bordin, Chun-Xiao Liu | Summary: A chain of quantum dots (QDs) coupled via semiconductor-superconductor hybrid regions can form an artificial Kitaev chain hosting Majorana bound states (MBSs). These zero-energy states are expected to be localised on the […]
Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastiaan L. D. ten Haaf, Yining Zhang, Qingzhen Wang, Alberto Bordin, Chun-Xiao Liu | Summary: A chain of quantum dots (QDs) in semiconductor-superconductor hybrid systems can form an artificial Kitaev chain hosting Majorana bound states (MBSs). These zero-energy states are expected to be localised on the edges […]
Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastiaan L. D. ten Haaf, Yining Zhang, Qingzhen Wang, Alberto Bordin, Chun-Xiao Liu | Summary: A chain of quantum dots (QDs) in semiconductor-superconductor hybrid systems can form an artificial Kitaev chain hosting Majorana bound states (MBSs). These zero-energy states are expected to be localised on the edges […]
Kavli Affiliate: Eliska Greplova | First 5 Authors: Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova, | Summary: 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 basis for representing quantum states via neural networks. These methods generally […]
Kavli Affiliate: Eliska Greplova | First 5 Authors: Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova, | Summary: 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 basis for representing quantum states via neural networks. These methods generally […]
Kavli Affiliate: Eliska Greplova | First 5 Authors: Vinicius Hernandes, Eliska Greplova, , , | Summary: Understanding of how biological neural networks process information is one of the biggest open scientific questions of our time. Advances in machine learning and artificial neural networks have enabled the modeling of neuronal behavior, but classical models often require […]
Kavli Affiliate: Tim H. Taminiau | First 5 Authors: Hans K. C. Beukers, Christopher Waas, Matteo Pasini, Hendrik B. van Ommen, Nina Codreanu | Summary: Solid-state quantum registers consisting of optically active electron spins with nearby nuclear spins are promising building blocks for future quantum technologies. For electron spin-1 registers, dynamical decoupling (DD) quantum gates […]
Kavli Affiliate: Tim H. Taminiau | First 5 Authors: Hans K. C. Beukers, Christopher Waas, Matteo Pasini, Hendrik B. van Ommen, Zarije Ademi | Summary: Solid-state quantum registers consisting of optically active electron spins with nearby nuclear spins are promising building blocks for future quantum technologies. For electron spin-1 registers, dynamical decoupling (DD) quantum gates […]
Kavli Affiliate: Michael Wimmer | First 5 Authors: Manfred Klaffenboeck, Michael Gleicher, Johannes Sorger, Michael Wimmer, Torsten Möller | Summary: Visual Parameter Space Analysis (VPSA) enables domain scientists to explore input-output relationships of computational models. Existing VPSA applications often feature multi-view visualizations designed by visualization experts for a specific scenario, making it hard for domain […]