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Shao‐Ming Fei

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • quant-ph4
same name
  • Shao‐Ming Fei — 2 papers
  • Shao‐Ming Fei — 1 paper
  • Shao‐Ming Fei — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedPurity and construction of arbitrary dimensional k-uniform mixed states

4 citations · 14 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2024★ 4 cited

Purity and construction of arbitrary dimensional k-uniform mixed states

Xiao Zhang, Shanqi Pang, Shao-Ming Fei +1

k-uniform mixed states are a significant class of states characterized by all k-party reduced states being maximally mixed. Novel methodologies are constructed for constructing k-u…

quant-ph2024★ 4 cited

Verifying Hierarchic Multipartite and Network Nonlocalities with a Unified Method

Ming-Xing Luo, Shao-Ming Fei

The multipartite nonlocality provides deep insights into the fundamental feature of quantum mechanics and guarantees different degrees of cryptography security for potential applic…

quant-ph2023★ 3 cited

Polygamy relation of quantum correlations with equality

Zhi-Xiang Jin, Bing Yu, Xue-Na Zhu +2

We provide a generalized definition of polygamy relations for any quantum correlation measures. Instead of the usual polygamy inequality, a polygamy relation with equality is given…

quant-ph2023★ 3 cited

Ising Hamiltonians for Constrained Combinatorial Optimization Problems and the Metropolis-Hastings Warm-Starting Algorithm

Hui-Min Li, Jin-Min Liang, Zhi-Xi Wang +1

Quantum approximate optimization algorithm (QAOA) is a promising variational quantum algorithm for combinatorial optimization problems. However, the implementation of QAOA is limit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.