MicroCloud Hologram Inc. Develops a Noise-Resistant Deep Quantum Neural Network (DQNN) Architecture to Optimize Training Efficiency for Quantum Learning Tasks
1. HOLO developed a noise-resistant Deep Quantum Neural Network (DQNN) architecture. 2. DQNN architecture enhances training efficiency for quantum learning tasks. 3. Successful benchmarks show strong generalization and noise resilience. 4. This innovation supports future Quantum AI applications across industries. 5. HOLO aims to optimize architecture for larger quantum computers.