Giordano Scappucci

Giordano Scappucci is team leader of the Quantum Materials Lab at QuTech, Delft University of Technology. Giordano has a multidisciplinary expertise in semiconductors that has enabled him to span the traditional boundaries between materials, chemistry, nanofabrication and physics. Giordano received a MSc in Physics from La Sapienza University (Roma, Italy) in 2000 and a PhD in Physics from Roma TRE University (Roma, Italy) in 2004. In his research, Giordano made high quality Si/Ge epitaxial layers to confine high mobility two-dimensional electron gases in silicon and study quantum phenomena in nanowires transistors. He then moved to Australia to the University of New South Wales, where he contributed to the development of a radical atomic-scale silicon device technology to fabricate devices where dopants are placed in silicon and germanium with atomic precision. Back to Europe in 2015, and back to SiGe heterostructures, the goal if his research group is to tailor the structural and electronic properties of SiGe heterostructures for applications in quantum technologies. He joined QuTech in 2015. His group is a research partner with Intel for the development of a quantum computer in silicon.

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The Hardware of a Quantum Computer (edX) EdX
Delft University of Technology,DelftX

The Hardware of a Quantum Computer (edX)

Dive into the fascinating world of quantum computing with our course, 'The Hardware of a Quantum Computer'. Discover the intricate details of building and controlling these cutting-edge machines that promise to redefine information processing and potentially revolutionize daily life. Learn about qubits, superposition, entanglement, and more.

Self Paced
Self-Paced
Development and Applications of Germanium Quantum Technologies (edX) EdX
Delft University of Technology,DelftX

Development and Applications of Germanium Quantum Technologies (edX)

Embark on a journey to understand the intricacies of Germanium Quantum Technologies. This course will guide you through the physics behind these revolutionary qubits, their manufacturing processes, control methods, and real-world applications. You'll also discover how machine learning can optimize performance and delve into quantum error correction and algorithm development.

Self Paced
Self-Paced
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