Projects & publications

Work, in context.

Quantum algorithms, scientific software, and related publications.

In progress

01 / Scientific software

Conceptual illustration

In development

NWQLib

A scientific-computing library connecting problem inputs, quantum algorithms, execution, and result analysis.

Public release in preparation.

About this work & my contribution

Methods cover linear dynamics and linear systems, energy and phase estimation, and optimization. Shared workflows make algorithm choices, resource requirements, and the meaning of each result explicit.

My contribution. Algorithm implementation and integration within a shared scientific-computing framework.

02 / Quantum algorithms

Conceptual illustration

Ongoing

Hybrid CV–DV algorithms

Developing algorithms that combine continuous-variable and discrete-variable quantum systems for scientific computation.

Code

About this work & my contribution

Building on hybrid CV–DV methods for linear combinations of Hamiltonian simulation.

My contribution. Algorithm research and numerical implementation.

Related publications

Quantum Science and Technology · 2026 Published
Gate-level quantum simulation of nonunitary linear dynamics with hybrid oscillator–qubit architecture
Paper Preprint
Authors & citation
Elin Ranjan Das, Muqing Zheng, Rishab Dutta, Ang Li, Tim Stavenger, Yuan Liu.
Gate-level quantum simulation of nonunitary linear dynamics with hybrid oscillator–qubit architecture. Quantum Science and Technology (2026). DOI: 10.1088/2058-9565/aea2c6.
arXiv · 2025 Preprint
Hybrid continuous-discrete-variable quantum computing: a guide to utility
Preprint
Authors & citation
A. F. Kemper, Antonios Alvertis, Muhammad Asaduzzaman, Bojko N. Bakalov, Dror Baron, Joel Bierman, Blake Burgstahler, Srikar Chundury, Elin Ranjan Das, Jim Furches, Fucheng Guo, Raghav G. Jha, Katherine Klymko, Arvin Kushwaha, Ang Li, Aishwarya Majumdar, Carlos Ortiz Marrero, Shubdeep Mohapatra, Christopher Mori, Frank Mueller, Doru Thom Popovici, Tim Stavenger, Mastawal Tirfe, Norm M. Tubman, Muqing Zheng, Huiyang Zhou, Yuan Liu.
Hybrid continuous-discrete-variable quantum computing: a guide to utility. arXiv (2025).

03 / Quantum chemistry

Conceptual illustration

Ongoing

Quantum chemistry in reduced spaces

Downfolding, QFlow, QuGCM, and ADAPT-GCiM for electronic-structure calculations in reduced spaces.

About this work & my contribution

Effective Hamiltonians and nonorthogonal many-body bases offer complementary ways to capture electron correlation with smaller quantum calculations.

My contribution. Algorithm development and implementation in collaboration with Karol Kowalski and colleagues.

Related publications

arXiv · 2026 Preprint
Quantum Information Harvesting with the Parallel Quantum Flow Algorithm
Preprint
Authors & citation
Nicholas P. Bauman, Ajay Panyala, Chenxu Liu, Muqing Zheng, Meng Wang, Karol Kowalski.
Quantum Information Harvesting with the Parallel Quantum Flow Algorithm. arXiv (2026).
Physical Review Research 8, 013072 · 2026 Published
Coupled cluster downfolding theory in simulations of correlated systems on quantum hardware
Paper Preprint
Authors & citation
Nicholas P. Bauman, Muqing Zheng, Chenxu Liu, Nathan M. Myers, Ajay Panyala, Bo Peng, Ang Li, Karol Kowalski.
Coupled cluster downfolding theory in simulations of correlated systems on quantum hardware. Physical Review Research 8, 013072 (2026). DOI: 10.1103/b1t6-ln6v.
Journal of Chemical Theory and Computation 21, 11335–11357 · 2025 Published
A Perspective on Quantum Computing Applications in Quantum Chemistry Using 25–100 Logical Qubits
Paper Preprint
Authors & citation
Yuri Alexeev, Victor S. Batista, Nicholas Bauman, Luke Bertels, Daniel Claudino, Rishab Dutta, Laura Gagliardi, Scott Godwin, Niranjan Govind, Martin Head-Gordon, Matthew R. Hermes, Karol Kowalski, Ang Li, Chenxu Liu, Junyu Liu, Ping Liu, Juan M. García-Lastra, Daniel Mejia-Rodriguez, Karl Mueller, Matthew Otten, Bo Peng, Mark Raugas, Markus Reiher, Paul Rigor, Wendy J. Shaw, Mark van Schilfgaarde, Tejs Vegge, Yu Zhang, Muqing Zheng, Linghua Zhu.
A Perspective on Quantum Computing Applications in Quantum Chemistry Using 25–100 Logical Qubits. Journal of Chemical Theory and Computation 21, 11335–11357 (2025). DOI: 10.1021/acs.jctc.5c01038.
npj Quantum Information 10, 127 · 2024 Published
Unleashed from constrained optimization: quantum computing for quantum chemistry employing generator coordinate inspired method
Paper Code Preprint
Authors & citation
Muqing Zheng, Bo Peng, Ang Li, Xiu Yang, Karol Kowalski.
Unleashed from constrained optimization: quantum computing for quantum chemistry employing generator coordinate inspired method. npj Quantum Information 10, 127 (2024). DOI: 10.1038/s41534-024-00916-8.
Physical Review Research 5, 023200 · 2023 Published
Quantum algorithms for generator coordinate methods
Paper Preprint
Authors & citation
Muqing Zheng, Bo Peng, Nathan Wiebe, Ang Li, Xiu Yang, Karol Kowalski.
Quantum algorithms for generator coordinate methods. Physical Review Research 5, 023200 (2023). DOI: 10.1103/PhysRevResearch.5.023200.

Research contributions

04 / Quantum algorithms

Conceptual illustration

Preprint work

Quantum optimization

Benchmarking quantum Hamiltonian descent and estimating its resources for continuous optimization.

Related publications

arXiv · 2026 Preprint
Encoding Choices and Fault-Tolerant Resource Estimates for Digital Quantum Hamiltonian Descent
Preprint
Authors & citation
Chenxu Liu, Meng Wang, Mingze Li, Muqing Zheng, Samuel Stein, Yousu Chen.
Encoding Choices and Fault-Tolerant Resource Estimates for Digital Quantum Hamiltonian Descent. arXiv (2026).
arXiv · 2026 Preprint
Benchmarking and Resource Analysis for Augmented-Lagrangian Quantum Hamiltonian Descent
Preprint
Authors & citation
Zeguan Wu, Mingze Li, Muqing Zheng, Meng Wang, Junyu Liu, Samuel Stein, Ang Li, Yousu Chen, Chenxu Liu.
Benchmarking and Resource Analysis for Augmented-Lagrangian Quantum Hamiltonian Descent. arXiv (2026).

05 / Scientific computing

Conceptual illustration

Published work

Quantum differential equations & neural operators

Exploring quantum neural operators and linear solvers for scientific applications.

About this work

This collection brings together work on Quantum DeepONet and investigations of the HHL quantum linear solver.

Related publications

Algorithms 18(8), 491 · 2025 Published
An Early Investigation of the HHL Quantum Linear Solver for Scientific Applications
Paper Preprint
Authors & citation
Muqing Zheng, Chenxu Liu, Samuel Stein, Xiangyu Li, Johannes Mülmenstädt, Yousu Chen, Ang Li.
An Early Investigation of the HHL Quantum Linear Solver for Scientific Applications. Algorithms 18(8), 491 (2025). DOI: 10.3390/a18080491.
Quantum 9, 1761 · 2025 Published
Quantum DeepONet: Neural operators accelerated by quantum computing
Paper Preprint
Authors & citation
Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu.
Quantum DeepONet: Neural operators accelerated by quantum computing. Quantum 9, 1761 (2025). DOI: 10.22331/q-2025-06-04-1761.
IEEE PES General Meeting · 2024 Published
Early Exploration of a Flexible Framework for Efficient Quantum Linear Solvers in Power Systems
Paper Preprint
Authors & citation
Muqing Zheng, Yousu Chen, Xiu Yang, Ang Li.
Early Exploration of a Flexible Framework for Efficient Quantum Linear Solvers in Power Systems. IEEE PES General Meeting (2024). DOI: 10.1109/PESGM51994.2024.10688916.

06 / Quantum reliability

Conceptual illustration

Published work

Quantum error modeling & mitigation

Characterizing quantum device noise and mitigating gate and measurement errors through Bayesian inference.

Related publications

ACM Transactions on Quantum Computing 4(2), Article 11 · 2023 Published
A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors
Paper Preprint
Authors & citation
Muqing Zheng, Ang Li, Tamás Terlaky, Xiu Yang.
A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors. ACM Transactions on Quantum Computing 4(2), Article 11 (2023). DOI: 10.1145/3563397.
Encyclopedia of Optimization · 2023 Reference chapter
Error Modeling in NISQ Devices
Chapter
Authors & citation
Muqing Zheng, Xiu Yang.
Error Modeling in NISQ Devices. Encyclopedia of Optimization (2023). DOI: 10.1007/978-3-030-54621-2_850-1.

07 / Collaborative research

Conceptual illustration

Published & preprint work

Quantum systems & simulation

Collaborative work on quantum compilation, noisy simulation, hardware co-design, and entanglement purification.

Related publications

ACM Transactions on Quantum Computing · 2026 Published
QASMTrans: An End-to-End QASM Compilation Framework with Pulse Generation for Near-Term Quantum Devices
Paper Preprint
Authors & citation
Aaron Hoyt, Meng Wang, Fei Hua, Chunshu Wu, Chenxu Liu, Muqing Zheng, Samuel Stein, Drew Rebar, Yufei Ding, Travis Humble, Ang Li.
QASMTrans: An End-to-End QASM Compilation Framework with Pulse Generation for Near-Term Quantum Devices. ACM Transactions on Quantum Computing (2026). DOI: 10.1145/3837861.
IEEE QCE 2025, 268–271 · 2025 Published
Design of an Entanglement Purification Protocol Selection Module
Paper Preprint
Authors & citation
Yue Shi, Chenxu Liu, Samuel Stein, Meng Wang, Muqing Zheng, Ang Li.
Design of an Entanglement Purification Protocol Selection Module. IEEE QCE 2025, 268–271 (2025). DOI: 10.1109/QCE65121.2025.10332.
arXiv · 2024 Preprint
TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC
Preprint
Authors & citation
Ang Li, Chenxu Liu, Samuel Stein, In-Saeng Suh, Muqing Zheng, Meng Wang, Yue Shi, Bo Fang, Martin Roetteler, Travis Humble.
TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC. arXiv (2024).
arXiv · 2024 Preprint
AQM: A Refresh of the Abstract Qubit Model for Quantum Computing Co-design
Preprint
Authors & citation
Chenxu Liu, Samuel A. Stein, Muqing Zheng, James Ang, Ang Li.
AQM: A Refresh of the Abstract Qubit Model for Quantum Computing Co-design. arXiv (2024).
SC 2023 Workshops, 1468–1477 · 2023 Published
QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices
Paper Preprint
Authors & citation
Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel Stein, Yufei Ding, Eddy Z. Zhang, Travis Humble, Ang Li.
QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices. SC 2023 Workshops, 1468–1477 (2023). DOI: 10.1145/3624062.3624222.