Hrl Laboratories, LLC

Reed Andrews

Heiko Hoffmann

Joseph Comer

Ian Jenkins

Wyatt Mcallister

Parker Williams

Described is a system for pattern recognition and graph extraction. The system operates by obtaining data from a quantum dot device having gate defined semiconductor quantum dots. An image with pixel-level coordinates is then generated from the data. Ground truth graph annotations are received of the image. A deep network processes the image and pixel-level coordinates to generate a predicted graph. The predicted graph is compared to the graph annotations to generate a loss, which allows the deep network to be optimized by updating parameters in the deep network based on the loss. The image with pixel-level coordinates is then used to generate an optimized predicted graph, which allows for identifying operational voltages to apply to the quantum dot device.

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Port Hueneme, CA, United States of America

Reed Andrews