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researcher

Junyu Liu

11 papers hereh-index 320 citations10 works total

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

author position
  • middle author4
  • last author6

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • quant-ph9
  • cs.AI2
same name
  • Junyu Liu — 57 papers, h 28
  • Junyu Liu — 30 papers, h 9
  • Junyu Liu — 18 papers, h 25
  • Junyu Liu — 12 papers, h 5
  • Junyu Liu — 10 papers, h 4
  • Junyu Liu — 8 papers, h 4

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

activity
20242026
most citedEnhancing Quantum Security over Federated Learning via Post-Quantum Cryptography

11 citations · 13 across the 9 of their papers we have counts for

collaborators
Showing 2026 · quant-phShow all

4 papers · 2 filters

quant-ph2026

Quantum Computing for Network Security Classification: Near-Term Classification and Long-Term Memory Efficiency

Yuqing Li, Poonam Bala Nehru, Yunpeng Zhang +4

Quantum computing has already been explored in several network-security applications. However, how quantum computing may contribute to network-security classification in both the n…

quant-ph2026

Empirical Scaling Laws of Quantum Vision Transformers

Yuqing Li, Fengyi Gao, Xin Jin +3

Quantum machine learning (QML) is a promising application of quantum computing, yet when and how practical learning models can achieve quantum advantage remains poorly understood.…

quant-ph2026

When AI meets quantum information: A comprehensive review

Min Chen, Yu Gan, Xin Jin +15

Artificial intelligence (AI) and quantum information (QI) are rapidly co-evolving. AI is becoming a practical tool for learning, designing, controlling, and verifying quantum syste…

quant-ph2026

Benchmarking and Resource Analysis for Augmented-Lagrangian Quantum Hamiltonian Descent

Zeguan Wu, Mingze Li, Muqing Zheng +6

Quantum Hamiltonian Descent (QHD) is a continuous optimization algorithm based on simulating a time-dependent quantum Hamiltonian whose potential energy encodes the objective funct…

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