Kylie Huch

Biographical Sketch

Kylie is a Hardware and Software Engineer in the Computer Architecture Group (CAG) in the Computational Research Division (CRD) at Lawrence Berkeley National Laboratory. Her current work focuses on the development of superconducting race logic circuits for machine learning and Network On Chip (NOC) applications as well as the design and testing of Electronic Design Automation (EDA) tools supporting superconducting designs.

Kylie graduated from the College of Creative Studies at University of California, Santa Barbara in 2021 with degrees in Computer Science and Biology specializing in computer architecture and biophysical chemistry respectively. Kylie did her undergraduate research with the UCSB ArchLab focusing on post-Moore architectures, emerging technologies, bio-inspired machine learning, and Hyperdimensional Computing (HDC).

Current Projects

• Superconducting Race Logic Accelerators Make computation in superconducting circuits, circuits that operate around 4K temperatures and have close to zero resistance, as efficient as possible
• iARPA SuperTools