I am an Assistant Professor in the Department of Computer Science and Software Engineering at Miami University. I received my Bachelor of Science in Internet of Things from Dalian Maritime University in 2022 and my Ph.D. in Electrical and Computer Engineering from the University of Houston in 2026, advised by Prof. Miao Pan.
My research focuses on building secure, privacy-preserving, and efficient quantum computing systems. As quantum computers evolve from standalone devices into multi-device systems, I study how to design, optimize, and protect distributed quantum computing platforms, quantum networks, and emerging quantum data center architectures.
My research interests include quantum computing privacy and security, distributed quantum system optimization, and topology design for quantum networks and systems.
I am recruiting Ph.D. students to join my group. If you are passionate about quantum computing, quantum optimization, or quantum privacy, feel free to reach out to me at zhongh7 [AT] miamioh [DOT] edu. For application details and requirements, please see Recruiting.
I received my Ph.D. from the University of Houston, and will join Miami University as an Assistant Professor in the Department of Computer Science and Software Engineering.
Talk Served as Session Chair for "Toward Secure and Reliable Quantum Computing in the NISQ Era" at IEEE QCE (Quantum Week), Albuquerque.
Talk Gave an oral presentation on Enhanced Local Differential Privacy Protection against Crosstalk Attacks in Quantum Computing at IEEE QCE 2025.
Paper Enhanced Local Differential Privacy Protection against Crosstalk Attacks in Quantum Computing was accepted to IEEE QCE 2025.
Paper Eve Said Yes: AirBone Authentication for Head-Wearable Smart Voice Assistant was accepted to IEEE Transactions on Mobile Computing.
Quantum computing systems must be secure and efficient as they scale from individual processors to distributed platforms. My research develops system-level models, optimization methods, and privacy mechanisms for both near-term quantum devices and emerging multi-device architectures. It is organized around three threads.
Privacy and security foundations for quantum computing systems, including quantum differential privacy and its local and Rényi variants. My work studies how noise, randomization, and system design can provide measurable protection for quantum computation, with validation on simulators and real IBM quantum devices.
Optimization methods for efficient quantum computing systems, including resource allocation, workload partitioning, scheduling, and learning-based frameworks. These methods aim to improve performance as quantum hardware becomes larger, noisier, and more interconnected.
System architecture for networked quantum computing, including entanglement management, topology design, and quantum data-center architectures. This thread studies how quantum processors should be connected and coordinated to support scalable distributed quantum computation.
Quantum Computing Catalyzes Future Quantum Networks: Efficiency and Inherent Privacy
IEEE Network 2024 Link ↗
Metaverse CAN: Embracing Continuous, Active, and Non-intrusive Biometric Authentication
IEEE Network 2023 Link ↗
Eve Said Yes: AirBone Authentication for Head-Wearable Smart Voice Assistant
IEEE Trans. Mobile Computing 2025 Link ↗
Enhanced Local Differential Privacy Protection against Crosstalk Attacks in Quantum Computing
IEEE QCE 2025 Link ↗
Tuning Quantum Computing Privacy through Quantum Error Correction
IEEE GLOBECOM 2024 Link ↗
EarID: In-Ear Wearable Device User Authentication Using Binary Acoustic Ear Canal Scanning Code
ACM CHI Late-Breaking Work · 2025 Link ↗
Controllable Quantum Computing Privacy via Inherent Noises and Quantum Error Mitigation
IEEE TrustCom 2024 Link ↗
Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy
IEEE QCE 2024 Link ↗
Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
IEEE ICC 2024 Link ↗
Privacy Preserving Quantum Search Mechanism Using Grover's Algorithm
IEEE QCNC 2024 Link ↗
Differential Privacy Preserving Quantum Computing via Projection Operator Measurements
IEEE QCNC 2024 Link ↗
Coordinated Optimal Energy Management Strategy for Grid-supporting Microgrid
IEEE IECON 2024 Link ↗
University of Houston · Houston, TX, USA
Advisor: Prof. Miao Pan. Focus on privacy and security for quantum computing.
Loughborough University · Loughborough, UK
Dalian Maritime University · Dalian, China
Miami University, Department of Computer Science and Software Engineering
InstructorUniversity of Houston, Department of Electrical and Computer Engineering
Teaching Assistant & Guest LecturerMultiple Ph.D. and research assistant positions are available for highly self-motivated students. Research topics are flexible; I am currently most interested in quantum computing, quantum optimization, and quantum privacy.
If you are interested in applying for a Ph.D. position, please email the following materials to zhongh7@miamioh.edu:
For other requirements and any questions, please feel free to email me at zhongh7@miamioh.edu.
Reviewer · Journals
Future Generation Computer Systems · Journal of Air Transport Management · ACM Computing Surveys · IEEE Open Journal of Vehicular Technology · IEEE Journal on Selected Areas in Communications · ICT Express
Reviewer · Conferences
IEEE Global Communications Conference (GLOBECOM) · IEEE Vehicular Technology Conference (VTC) · International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC)
Membership
ACM Student Member (2024–2025)
I am always glad to discuss quantum computing systems, privacy, and optimization, and to hear from prospective students. The best way to reach me is by email.
Department of Computer Science and Software Engineering, Miami University, Oxford, OH, USA
Congratulations to my three cats for successfully accompanying me through my Ph.D. journey. This is their first appearance on an academic homepage.
