Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics
arXiv:2604.15775v1 Announce Type: new
Abstract: Learning with large-scale datasets and information-critical applications, such as in High Energy Physics (HEP), demands highly complex, large-scale models that are both robust and accurate. To tackle thi…