NWQLib
An open-source Python library that applies quantum algorithms to linear systems, linear dynamics, eigenvalue problems and optimization, and estimates each circuit's resources before it is built.
Quantum algorithms, scientific software, and related publications.
An open-source Python library that applies quantum algorithms to linear systems, linear dynamics, eigenvalue problems and optimization, and estimates each circuit's resources before it is built.
4:21Developing algorithms that combine continuous-variable and discrete-variable quantum systems for scientific computation.
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.
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).
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3:52Downfolding, QFlow, QuGCM, and ADAPT-GCiM for electronic-structure calculations in reduced spaces.
Nicholas P. Bauman, Ajay Panyala, Chenxu Liu, Muqing Zheng, Meng Wang, Karol Kowalski.
Quantum Information Harvesting with the Parallel Quantum Flow Algorithm. The Journal of Physical Chemistry Letters (2026). DOI: 10.1021/acs.jpclett.6c02025.
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.
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.
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.
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.
Benchmarking quantum Hamiltonian descent and estimating its resources for continuous optimization.
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).
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).
5:26Exploring quantum neural operators and linear solvers for scientific applications.
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.
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.
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.
6:07Characterizing quantum device noise and mitigating gate and measurement errors through Bayesian inference.
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.
Muqing Zheng, Xiu Yang.
Error Modeling in NISQ Devices. Encyclopedia of Optimization (2023). DOI: 10.1007/978-3-030-54621-2_850-1.
Collaborative work on quantum compilation, noisy simulation, hardware co-design, and entanglement purification.
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.
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.
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).
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).
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.