Engineering Nanoscale Devices for Novel Computing Paradigms
Title: Engineering Nanoscale Devices for Novel Computing Paradigms
Life changing technologies in health, information technology and energy will be enabled by novel electronics with higher computation power and security, lower energy consumption, and increased production scalability. Currently, we are approaching the limit of classical Si based computing. The future leap for many novel applications in emerging fields such as biomedical simulations, virtual drug discovery, and artificial intelligence will require novel computing paradigms like neuromorphic and quantum computing that go beyond the conventional Von Neumann architecture. Some of the key challenges that hinder the progress of novel computing paradigms are 1) limited fundamental understanding of underlying physical and chemical processes, 2) lack of novel materials, optimized device architectures and processing conditions that yield the desired device properties, 3) reproducibility, scalability, and variability issues in device fabrication.
In this talk, I will discuss the design of nanoscale devices for novel computing paradigms of quantum and neuromorphic computing. The talk will start with a brief review of current CMOS technology, limitations and technological scaling, which will be followed by the role of semiconductor nanostructures in nanoelectronics, in particular III-V semiconductors. Next, I will shift the focus to novel computing device engineering. I will review the different qubit technologies available for quantum computing, and elaborate on topological qubit technology with a focus on the use of III-V semiconductor & superconductor systems as topological qubit platforms. Finally, I will combine the materials growth and device fabrication approaches i) to elaborate on the physics and operation of memristor devices for neuromorphic computing application, and ii) to optimize the performance of novel computing devices as a function of process parameters using integrated, data-driven, and modular device optimization and fabrication techniques. Overall, my talk aims to provide an overview of challenges and propose data-centric solutions to enable the transition from device-level research to complex computing architectures.
Gozde Tutuncuoglu is an assistant professor at Wayne State University, Department of Electrical and Computer Engineering. Previously, she was a researcher at Microsoft Quantum Labs in Delft, Netherlands, focusing on developing robust and scalable approaches for topological qubit device fabrication. Prior to Microsoft, she worked as a postdoctoral researcher at Georgia Institute of Technology to study the thermoelectric properties of Si nanowires, and fabrication of Si nanowire transistors, with a special emphasis on reliability, scalability and device-to-device variation. She holds a Ph.D. from Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland, with her dissertation on "The Growth and Optoelectronic Properties of III-V Nanostructures" under the supervision of Prof. Anna Fontcuberta i Morral. Her research interests include nanoelectronics, novel computing devices, neuromorphic and quantum computing.