Quantum Computing · Systems · Algorithms

Jinyang Li

Assistant Professor
Department of Computer Science and Software Engineering
Miami University

My research focuses on building practical, reliable, and scalable quantum computing systems. I work across quantum computing systems, design automation, variational quantum algorithms, and quantum machine learning to improve how quantum applications are designed, evaluated, and executed on emerging platforms.

Emerging interests: distributed quantum computing and quantum computing for scientific discovery, including healthcare and life sciences.

Google Scholar CV Email

Research

Research directions

My work connects system-level reliability and optimization with quantum circuit design, algorithms, and emerging scientific applications.

Reliable & Efficient Quantum Computing Systems

I develop system-level methods for performance and reliability modeling, workload management, runtime optimization, and noise-aware execution on real and emerging quantum platforms.

Quantum Design Automation & Algorithms

I study automated approaches for designing and optimizing quantum circuits and applications, with an emphasis on design automation, variational quantum algorithms, and quantum machine learning.

03 · Emerging

Distributed Quantum Computing & Scientific Discovery

I am expanding toward distributed and heterogeneous quantum computing, scalable quantum workflows, and scientific applications including healthcare and life sciences.

Selected work

Selected publications

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2025

Computational Performance Bounds Prediction in Quantum Computing with Unstable Noise

Jinyang Li, Samudra Dasgupta, Yuhong Song, Lei Yang, Travis Humble, Weiwen Jiang

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

Performance and reliability modeling for quantum computing systems operating under unstable noise.

2025

QuSplit: Achieving Both High Fidelity and Throughput via Job Splitting on Noisy Quantum Computers

Jinyang Li, Yuhong Song, Yipei Liu, Jianli Pan, Lei Yang, Travis Humble, Weiwen Jiang

Quantum Machine Intelligence

System-level workload optimization for improving fidelity and throughput on noisy quantum computers.

2023

A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices

Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang

IEEE International Conference on Quantum Computing and Engineering (QCE)

Variational quantum circuit design for quantum machine learning on NISQ platforms.

Current interests & opportunities

Building toward practical quantum computing

I am currently exploring distributed and heterogeneous quantum computing, reliable quantum systems, and quantum computing for scientific discovery. I welcome motivated students interested in quantum computing, quantum systems, quantum algorithms, and machine learning to reach out about potential research opportunities.

Interested in working together?
lij270@miamioh.edu