Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation 事件

Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation arXiv:2606.03517v1 Announce Type: cross Abstract: Training quantum neural networks (QNNs) on quantum hardware is currently bottlenecked by the cost of gradient estimation: standard parameter-shift methods require a number of circuit evaluations that grows quadratically with the number of trainable parameters, making hardware-based optimisation impractical beyond small system sizes. In this work,