McClean, Jarrod R.

Chemical basis of Trotter-Suzuki errors in quantum chemistry simulation

Babbush, R., McClean, J., Wecker, D., Aspuru-Guzik, A., & Wiebe, N. (2015) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 199

Low rank representations for quantum simulation of electronic structure

Motta, M., Ye, E., McClean, J. R., Li, Z., Minnich, A. J., Babbush, R., & Chan, G. K.-L. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 173

Improved Fault-Tolerant Quantum Simulation of Condensed-Phase Correlated Electrons via Trotterization

Kivlichan, I. D., Gidney, C., Berry, D. W., Wiebe, N., McClean, J., Sun, W., Jiang, Z., Rubin, N., Fowler, A., Aspuru-Guzik, A., et al. (2020) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 173

Focus beyond Quadratic Speedups for Error-Corrected Quantum Advantage

Babbush, R., McClean, J. R., Newman, M., Gidney, C., Boixo, S., & Neven, H. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 148

Phase transition in Random Circuit Sampling

Morvan, A., Villalonga, B., Mi, X., Mandrà, S., Bengtsson, A., Klimov, P. V., Chen, Z., Hong, S., Erickson, C., Drozdov, I. K., et al. (2023) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 138

Exploiting Locality in Quantum Computation for Quantum Chemistry

McClean, J. R., Babbush, R., Love, P. J., & Aspuru-Guzik, A. (2014) · The Journal of Physical Chemistry Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 125

Non-Abelian braiding of graph vertices in a superconducting processor

Collaborators, G. Q. A. A., Andersen, T. I., Lensky, Y. D., Kechedzhi, K., Drozdov, I. K., Bengtsson, A., Hong, S., Morvan, A., Mi, X., Opremcak, A., et al. (2023) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 108

Scaling and logic in the colour code on a superconducting quantum processor

Lacroix, N., Bourassa, A., Heras, F. J. H., Zhang, L. M., Bausch, J., Senior, A. W., Edlich, T., Shutty, N., Sivak, V., Bengtsson, A., et al. (2025) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 51

Low depth mechanisms for quantum optimization

McClean, J. R., Harrigan, M. P., Mohseni, M., Rubin, N. C., Jiang, Z., Boixo, S., Smelyanskiy, V. N., Babbush, R., & Neven, H. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 45

Implementing a Variational Quantum Eigensolver using Superconducting Qubits

Colless, J., Ramasesh, V., Dahlen, D., Blok, M., McClean, J., Carter, J., de Jong, W. A., & Siddiqi, I. (2017) · Quantum Information and Measurement (QIM) 2017

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 3