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Computer Architecture Group

Kylie Huch

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Kylie Huch
Hardware and Software Engineer
Computer Architecture Group

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

Journal Articles

Meriam Gay Bautista, Darren Lyles, Kylie Huch, Patricia Gonzalez-Guerrero, George Michelogiannakis, "Area Efficient Asynchronous SFQ Pulse Round-Robin Distribution Network", IEEE Transactions on Circuits and Systems I: Regular Papers, November 2023,

Kylie Huch, Patricia Gonzalez-Guerrero, Darren Lyles, George Michelogiannakis, "Superconducting Hyperdimensional Associative Memory Circuit for Scalable Machine Learning", IEEE Transactions on Applied Superconductivity, May 2023,

Conference Papers

Patricia Gonzalez-Guerrero, Kylie Huch, Nirmalendu Patra, Thom Popovici, George Michelogiannakis, "An Area Efficient Superconducting Unary CNN Accelerator", IEEE 24th International Symposium on Quality Electronic Design (ISQED), IEEE, April 2023,

Meriam Gay Bautista, Patricia Gonzalez-Guerrero, Darren Lyles, Kylie Huch, George Michelogiannakis, "Superconducting Digital DIT Butterfly Unit for Fast Fourier Transform Using Race Logic", 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS), IEEE, June 2022, 441-445,