Qing-Xuan Jie

Hardware-Efficient Bosonic Module for Entangling Superconducting Quantum Processors via Optical Networks

  1. Jia-Hua Zou,
  2. Weizhou Cai,
  3. Jia-Qi Wang,
  4. Zheng-Xu Zhu,
  5. Qing-Xuan Jie,
  6. Xin-Biao Xu,
  7. Weiting Wang,
  8. Guang-Can Guo,
  9. Luyan Sun,
  10. and Chang-Ling Zou
Scaling superconducting quantum processors beyond single dilution refrigerators requires efficient optical interconnects, yet integrating microwave-to-optical (M2O) transducers poses
challenges due to frequency mismatches and qubit decoherence. We propose a modular architecture using SNAIL-based parametric coupling to interface Brillouin M2O transducers with long-lived 3D cavities, while maintaining plug-and-play compatibility. Through numerical simulations incorporating realistic noises, including laser heating, propagation losses, and detection inefficiency, we demonstrate raw entangled bit fidelities of F~0.8 at kHz-level rates over 30 km using the Duan-Lukin-Cirac-Zoller (DLCZ) protocol. Implementing asymmetric entanglement pumping tailored to amplitude damping errors, we achieve purified fidelities F~0.94 at 0.2 kHz rates. Our cavity-based approach outperforms transmon schemes, providing a practical pathway for distributed superconducting quantum computing.
arxiv pdf