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Conferences > CLEO_AT > 2022 > JW3B > JW3B.21

Predicting Molecular Properties Using Photonic Chip-Based Machine Learning Approach

J. Lau, H. Zhang, L. Wan, L. Shi, C. -K. Lee, L. C. Kwek, and A. Q. Liu

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Abstract

The intensive neural network architecture for molecules resulted in exponential growth in computation cost. Photonic chip technology offers an alternative platform with faster processing. We apply an optical neural chip to predict multiple quantum mechanical properties of molecules.

© 2022 The Author(s)

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