Front Cover: Enhanced Quantum Entanglement Detection of General Two Qubits Systems Based on Modified CNN-BiLSTM Model (Adv. Quantum Technol. 1/2025)

Abstract

As a fusion improvement algorithm for convolution neural networks and recurrent neural networks, CNN-BiLSTM demonstrates its powerful fitting ability and generalization ability for complex data. In article number 2400373, Nan Jiang and co-workers combine this algorithm with quantum entanglement classification problems, achieving perfect performance for nearly all 2-qubits quantum systems.