Project Overview
Artificial Neural Networks using Superconductors
Department(s)
Physics and Astronomy
Abstract
Research positions in the lab of Ken Segall are available for 8 weeks in the summer of 2025. The goal of the research is the development of superconducting artificial neural networks. Toward that end, we will focus on the development of the basic building blocks of neural networks – circuits that do weighting, multiplying, summing and thresholding. These circuits will be made from superconductors and fabricated by our collaborator, Great Sky AI. They will be tested and modeled in the lab at Colgate. The long-term goal is the development of a neural network that is faster and more energy efficient than the neural networks that run today’s AI. Students will work on device design, cryogenic testing, low noise experimental techniques, computer simulation, and data analysis while at the forefront of an exciting new field. These experiences will help prepare them for technical or academic careers in the sciences.
Student Qualifications
Students should have taken Physics 232, 233, 334 and 336 to work on these projects, and should be interested in a career in solid state physics, superconductivity, nonlinear dynamics, electrical engineering, experimental physics or computational studies. All students will be involved in cryogenic, data collection and data analysis. In addition, some students will specialize in either computational studies, electronics instrumentation, machine shop work or noise studies when we are not taking data.
Project Length
8 weeks
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