Barren plateaus induced by the dimension of qudits

arXiv:2405.08190v1 Announce Type: cross
Abstract: Variational Quantum Algorithms (VQAs) have emerged as pivotal strategies for attaining quantum advantages in diverse scientific and technological domains, notably within Quantum Neural Networks. However, despite their potential, VQAs encounter significant obstacles, chief among them being the gradient vanishing problem, commonly referred to as barren plateaus. In this study, we unveil a direct correlation between the dimension of qudits and the occurrence of barren plateaus, a connection previously overlooked. Through meticulous analysis, we demonstrate that …

abstract advantages algorithms arxiv cs.lg diverse domains gradient however networks neural networks obstacles pivotal quant-ph quantum quantum neural networks scientific strategies them type