arXiv:1911.08587

Solving machine learning optimization problems using quantum computers

Venkat R. Dasari, Mee Seong Im, Lubjana Beshaj

제출 2019-11-17

원문 초록

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 applied to a $3$-dimensional image that vary with time.

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