Cao, Yudong

Potential of quantum computing for drug discovery

Cao, Y., Romero, J., & Aspuru-Guzik, A. (2018) · IBM Journal of Research and Development

Quantum Computing Algorithms and ArchitectureComputational Drug Discovery Methods

Cited by 357

Experimental realization of quantum algorithm for solving linear systems of equations

Pan, J., Cao, Y., Yao, X., Li, Z., Ju, C., Chen, H., Peng, X., Kais, S., & Du, J. (2014) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 110

Variational Quantum Factoring

Anschuetz, E., Olson, J., Aspuru-Guzik, A., & Cao, Y. (2019) · Lecture Notes in Computer Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 104

Minimizing Estimation Runtime on Noisy Quantum Computers

Wang, G., Koh, D. E., Johnson, P. D., & Cao, Y. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 77

Analyzing the Performance of Variational Quantum Factoring on a Superconducting Quantum Processor

Karamlou, A. H., Simon, W. A., Katabarwa, A., Scholten, T. L., Peropadre, B., & Cao, Y. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 52

QVECTOR: an algorithm for device-tailored quantum error correction

Johnson, P. D., Romero, J., Olson, J., Cao, Y., & Aspuru-Guzik, A. (2017) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 50

Hamiltonian gadgets with reduced resource requirements

Cao, Y., Babbush, R., Biamonte, J., & Kais, S. (2015) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 35

Industrial Agentic AI and generative modeling in complex systems

Boskabadi, M. R., Cao, Y., Khadem, B., Clements, W., Nevin Gerek, Z., Reuthe, E., Sivaram, A., Savoie, C. J., & Mansouri, S. S. (2025) · Current Opinion in Chemical Engineering

Fault Detection and Control SystemsDigital Transformation in Industry

Cited by 34

An application benchmark for fermionic quantum simulations

Dallaire-Demers, P.-L., Stęchły, M., Gonthier, J. F., Bashige, N. T., Romero, J., & Cao, Y. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 25