Zhaofeng Su

Orcid: 0000-0003-0021-225X

Affiliations:
  • University of Science and Technology of China (USTC), School of Computer Science and Technology, Hefei, Anhui, China
  • University of Technology Sydney, Centre for Quantum Software and Information, NSW, Australia (PhD 2018)


According to our database1, Zhaofeng Su authored at least 13 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Optimal local filtering operation for enhancing quantum entanglement.
Quantum Inf. Process., January, 2025

2024
Artifact for VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models.
Dataset, June, 2024

VeriQR: A Robustness Verification Tool for quantum Machine Learning Models.
Proceedings of the Formal Methods - 26th International Symposium, 2024

Analysis of Local Operations Influence on the Entanglement of Two-Qubit States.
Proceedings of the 10th International Conference on Big Data Computing and Communications, 2024

2023
Effective and Efficient Qubit Mapper.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2021
Local Information as an Essential Factor for Quantum Entanglement.
Entropy, 2021

Separability Criteria Combined with Local Filtering Transformation Based on the Bloch Representation.
Proceedings of the 7th International Conference on Big Data Computing and Communications, 2021

2020
Quantum multiparty cryptosystems based on a homomorphic random basis encryption.
Quantum Inf. Process., 2020

Quantum algorithm for solving hyperelliptic curve discrete logarithm problem.
Quantum Inf. Process., 2020

Full-Blind Delegating Private Quantum Computation.
CoRR, 2020

2018
Quantification and distribution of genuinely nonlocal resources
PhD thesis, 2018

An approach for quantitatively analyzing the genuine tripartite nonlocality of general three-qubit states.
Quantum Inf. Process., 2018

2017
Generating tripartite nonlocality from bipartite resources.
Quantum Inf. Process., 2017


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