About me
Quantum Information Theory | Quantum Computation | AI
Exploring quantum theory and intelligent systems.
I am Zhi-Ping Liu, a Ph.D. student at Nanjing University. Having worked on quantum machine learning, I am now focused on building efficient large language models and exploring multimodal generation.
Current Focus
Constructing efficient and practical intelligent systems, while occasionally reflecting on quantum theory.
Collaboration
I build efficient AI systems to improve token efficiency.
Quick Links
Bio
Hi! My name is Zhi-Ping Liu (刘志平). I’m a Ph.D. student at the Nanjing University (NJU), under the supervision of Prof. Zeng-Bing Chen and Prof. Hua-Lei Yin. My research background is in quantum machine learning, and my current interests have expanded toward efficient large language models.
I received the B.S. degree in Physics from NJU in July 2020, and my research journey spans both academia and industry at the intersection of quantum information and AI.
Feb 2023 - Jul 2023
Beijing
Research Intern - Baidu Research
Institute for Quantum Computing. Mentored by Dr. Xin Wang and Dr. Kun Fang.
Jul 2023 - Dec 2024
Guangzhou
Research Assistant - HKUST(GZ) AI Thrust
QuAIR Laboratory, supervised by Prof. Xin Wang, working on quantum resource theory.
Apr 2025 - Present
Shanghai
Research Intern - Huawei Noah's Ark Lab
Mentored by Wei Li, focusing on efficient LLMs and distillation techniques.
You can find my full CV here. (updated in April, 2026)
I am broadly interested in quantum information theory, quantum computation, and artificial intelligence. In particular, I’m fascinated by how various quantum resources make things different. Currently, I am exploring the intersection between quantum theory and language models.
I’m actively looking for potential research collaborators - please feel free to get in touch!
Recent News
2026-05-11 Our paper Experimentally Validated Quantum-Secure Federated Learning over a Multi-User Quantum Network has been accepted by Research.
2026-05-01 Our paper Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation has been accepted by ICML.
2025-08-27 Our paper Quantum Fidelity Estimation in the Resource Theory of Nonstabilizerness has been accepted by Physical Review A.
2025-06-18 Our new preprint Quantum Fidelity Estimation in the Resource Theory of Nonstabilizerness was featured in Quantum Research News on Quantum Zeitgeist. See this report.
2025-06-15 Our new paper Quantum Fidelity Estimation in the Resource Theory of Nonstabilizerness has been posted on arXiv.
2025-06-03 Our paper Quantum-enhanced blockchain federated learning via quantum Byzantine agreement has been accepted by SCIENCE CHINA Information Sciences (CCF A).
2025-05-06 Our paper Quantum coherence and distinguishability as complementary resources: A resource-theoretic perspective from wave-particle duality has been accepted by Physical Review A.
2025-01-12 Our paper Entanglement Cost of Discriminating Quantum States Under Locality Constraints has been accepted by IEEE Transactions on Information Theory.
2024-12-05 Our submission Amortized Stabilizer R'enyi Entropy of Quantum Dynamics has been accepted by Quantum Resources 2025, Jeju Island (1 contributed talk).
2024-06-29 Our submission Quantum Coherence and Distinguishability: A Resource-Theoretic Perspective on Wave-Particle Duality has been accepted by AQIS 2024, Sapporo (1 contributed talk).
2024-06-01 Our paper Limitations of Classically Simulable Measurements for Quantum State Discrimination has been accepted by Physical Review Letters.
2024-06-01 Our paper Enhancement of nonstabilizerness within indefinite causal order has been accepted by Physical Review A.
2024-03-10 Our paper Entanglement Cost of Discriminating Quantum States Under Locality Constraints has been accepted by ISIT 2024, Greece (1 contributed talk).
Selected Publications
Complete list -> Publications
Professional service
- Conference Referee
- 2025 IEEE International Symposium on Information Theory (ISIT 2025)
- 24th Asian Quantum Information Science Conference (AQIS 2024)
- Quantum Computing Theory in Practice 2024 (QCTP 2024)