Classification of the Fashion-MNIST Dataset on a Quantum Computer

arXiv:2403.02405v1 Announce Type: cross
Abstract: The potential impact of quantum machine learning algorithms on industrial applications remains an exciting open question. Conventional methods for encoding classical data into quantum computers are not only too costly for a potential quantum advantage in the algorithms but also severely limit the scale of feasible experiments on current hardware. Therefore, recent works, despite claiming the near-term suitability of their algorithms, do not provide experimental benchmarking on standard machine learning datasets. We attempt to solve …

abstract algorithms applications arxiv classification computer computers cs.lg data dataset encoding fashion impact industrial machine machine learning machine learning algorithms mnist quant-ph quantum quantum advantage quantum computer quantum computers question scale type