Solving machine learning optimization problems using quantum computers

Venkat R. Dasari; Mee Seong Im; Lubjana Beshaj

doi:10.1117/12.2565038

22 April 2020 Solving machine learning optimization problems using quantum computers

Venkat R. Dasari, Mee Seong Im, Lubjana Beshaj

Proceedings Volume 11419, Disruptive Technologies in Information Sciences IV; 114190F (2020) https://doi.org/10.1117/12.2565038
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Classical optimization algorithms in machine learning often take a long time to compute when applied to a multi-dimensional problem and require a huge amount of CPU and GPU resource. Quantum parallelism has a potential to speed up machine learning algorithms. We describe a generic mathematical model to leverage quantum parallelism to speed-up machine learning algorithms. We also apply quantum machine learning and quantum parallelism to a 3-dimensional image that vary with time as well as tracking speed in object identification.

Citation Download Citation

Venkat R. Dasari, Mee Seong Im, and Lubjana Beshaj "Solving machine learning optimization problems using quantum computers", Proc. SPIE 11419, Disruptive Technologies in Information Sciences IV, 114190F (22 April 2020); https://doi.org/10.1117/12.2565038

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