Germanium Quantum Technologies Development

Menno Veldhorst serves as an associate professor at QuTech, Delft University of Technology, where he has established himself as a pioneer in semiconductor quantum computing. His groundbreaking achievements include the first-ever demonstration of single and two-qubit gates in silicon during his postdoctoral research at the University of New South Wales, which was recognized as one of the top-ten breakthroughs in physics in 2015. Leading his research group at QuTech, he has achieved numerous significant firsts in the field, including the demonstration of a planar germanium quantum dot, a single-hole qubit, two-qubit logic in germanium, a four-qubit quantum processor, and a 16 quantum dot system operated with shared control. His innovative work continues to push the boundaries of quantum computing technology, particularly in the development of semiconductor-based quantum systems.

Eliška Greplová serves as an associate professor at the Kavli Institute of Nanoscience and leads the Quantum Matter and AI group at Delft University of Technology, where she pioneers research at the intersection of quantum computing, artificial intelligence, and condensed matter physics. After completing her PhD at Aarhus University under Klaus Mølmer's supervision and postdoctoral research at ETH Zurich in Sebastian Huber's group, she established herself as a leading figure in quantum technology innovation. Her research portfolio includes groundbreaking work in developing algorithmic methods for quantum computing experiments, applying AI to understand complex condensed matter physics phenomena, and implementing emergent condensed matter phenomena in quantum devices. As a member of the World Economic Forum's Council on Future of Quantum Economy and former Visiting Researcher at Microsoft AI4Science, she brings a unique perspective to quantum technology development. Her group has secured significant funding, including a 5 million EUR Kavli Institute Innovation Award and NWO Quantum Delta funding, while making substantial contributions to quantum education through initiatives like the EdX course on Machine Learning for Semiconductor Quantum Devices. Her most influential work includes developing unsupervised identification methods for topological phase transitions, adversarial Hamiltonian learning techniques for quantum dots, and new approaches for quantifying non-stabilizerness in quantum circuits, establishing her as a pioneering force in bridging quantum computing with artificial intelligence.

Giordano Scappucci serves as the team leader of the Quantum Materials Lab at QuTech, Delft University of Technology, where he bridges the gap between materials science and quantum computing development. His academic journey began in Italy, earning his MSc in Physics from La Sapienza University in 2000 and PhD from Roma TRE University in 2004, where he specialized in Si/Ge epitaxial layers and quantum phenomena in nanowire transistors. After spending a transformative decade at the University of New South Wales developing atomic-scale silicon device technology, he joined QuTech in 2015 to lead materials development within the QuTech-Intel partnership for quantum computing advancement. His research group has achieved significant breakthroughs, including demonstrations of strong spin-photon coupling in silicon and the development of a four-qubit germanium quantum processor. As a multidisciplinary expert spanning materials science, chemistry, nanofabrication, and physics, Scappucci focuses on tailoring the structural and electronic properties of SiGe heterostructures for quantum technologies. His work has produced over 80 journal articles and led to more than 50 invited talks at international conferences, establishing him as a key figure in developing the fundamental building blocks of quantum computers, particularly the "qubit plane" that forms the foundation of quantum computing systems. Through his leadership of the Quantum Materials Lab and partnership with Intel, he continues to push the boundaries of quantum material development for practical quantum computing applications.