Quantum machine learning for image classification

arXiv:2304.09224v2 Announce Type: replace-cross
Abstract: Image classification, a pivotal task in multiple industries, faces computational challenges due to the burgeoning volume of visual data. This research addresses these challenges by introducing two quantum machine learning models that leverage the principles of quantum mechanics for effective computations. Our first model, a hybrid quantum neural network with parallel quantum circuits, enables the execution of computations even in the noisy intermediate-scale quantum era, where circuits with a large number of qubits are currently …

abstract arxiv challenges classification computational cs.cv cs.lg data hybrid image industries machine machine learning machine learning models multiple network neural network pivotal quant-ph quantum quantum mechanics quantum neural network research type visual visual data