中文

通过纠缠镀造与遥传实现分布式量子计算

机器学习 2025-01-16 v2 人工智能

摘要

Distributed quantum computation is a practical method for large-scale quantum computation on quantum processors with limited size. It can be realized by direct quantum channels in flying qubits. Moreover, the pre-established quantum entanglements can also play the role of quantum channels with local operations and classical channels. However, without quantum correlations like quantum channels and entanglements, the entanglement forging technique allows us to classically forge the entangled states with local operations and classical channels only. In this paper, we demonstrate the methods to implement a nonlocal quantum circuit on two quantum processors without any quantum correlations, which is based on the fact that teleportation with classically forged Bell states is equivalent to quantum state tomography. In compensation, the overhead of single-shot measurement will increase, and several auxiliary qubits are required. Our results extend the possibility of integrating quantum processors. We expect that our methods will complement the toolbox of distributed quantum computation, and facilitate the extension of the scale of quantum computations.

关键词

引用

@article{arxiv.2409.02512,
  title  = {Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal},
  author = {Jifeng Hu and Li Shen and Sili Huang and Zhejian Yang and Hechang Chen and Lichao Sun and Yi Chang and Dacheng Tao},
  journal= {arXiv preprint arXiv:2409.02512},
  year   = {2025}
}

备注

This work has been submitted to the IEEE for possible publication