We propose a scheme to distribute graph states over quantum networks in the presence of noise in the channels and in the operations. The protocol can be implemented efficiently for large graph sates of arbitrary (complex) topology. We benchmark our scheme with two protocols where each connected component is prepared in a node belonging to the component and subsequently distributed via quantum repeaters to the remaining connected nodes. We show that the fidelity of the generated graphs can be written as the partition function of a classical Ising-type Hamiltonian. We give exact expressions of the fidelity of the linear cluster and results for its decay rate in random graphs with arbitrary (uncorrelated) degree distributions.
机构:
Fudan Univ, State Key Lab Surface Phys, Shanghai 200433, Peoples R China
Fudan Univ, Dept Phys, Shanghai 200433, Peoples R China
Fudan Univ, Inst Nanoelect Devices & Quantum Comp, Shanghai 200433, Peoples R China
Fudan Univ, Ctr Field Theory & Particle Phys, Shanghai 200433, Peoples R ChinaFudan Univ, State Key Lab Surface Phys, Shanghai 200433, Peoples R China
Han, Yun-Guang
Li, Zihao
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机构:
Fudan Univ, State Key Lab Surface Phys, Shanghai 200433, Peoples R China
Fudan Univ, Dept Phys, Shanghai 200433, Peoples R China
Fudan Univ, Inst Nanoelect Devices & Quantum Comp, Shanghai 200433, Peoples R China
Fudan Univ, Ctr Field Theory & Particle Phys, Shanghai 200433, Peoples R ChinaFudan Univ, State Key Lab Surface Phys, Shanghai 200433, Peoples R China
Li, Zihao
Wang, Yukun
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China Univ Petr, Dept Comp Sci & Technol, Beijing 102249, Peoples R ChinaFudan Univ, State Key Lab Surface Phys, Shanghai 200433, Peoples R China
Wang, Yukun
Zhu, Huangjun
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机构:
Fudan Univ, State Key Lab Surface Phys, Shanghai 200433, Peoples R China
Fudan Univ, Dept Phys, Shanghai 200433, Peoples R China
Fudan Univ, Inst Nanoelect Devices & Quantum Comp, Shanghai 200433, Peoples R China
Fudan Univ, Ctr Field Theory & Particle Phys, Shanghai 200433, Peoples R ChinaFudan Univ, State Key Lab Surface Phys, Shanghai 200433, Peoples R China