Babbush, Ryan

Barren plateaus in quantum neural network training landscapes

McClean, J. R., Boixo, S., Smelyanskiy, V. N., Babbush, R., & Neven, H. (2018) · Nature Communications

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 2,329

The theory of variational hybrid quantum-classical algorithms

McClean, J. R., Romero, J., Babbush, R., & Aspuru-Guzik, A. (2016) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 2,227

Characterizing quantum supremacy in near-term devices

Boixo, S., Isakov, S. V., Smelyanskiy, V. N., Babbush, R., Ding, N., Jiang, Z., Bremner, M. J., Martinis, J. M., & Neven, H. (2018) · Nature Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,175

Suppressing quantum errors by scaling a surface code logical qubit

Google Quantum, A. I., Acharya, R., Aleiner, I., Allen, R., Andersen, T. I., Ansmann, M., Arute, F., Arya, K., Asfaw, A., Atalaya, J., et al. (2023) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,103

Scalable Quantum Simulation of Molecular Energies

O’Malley, P. J. J., Babbush, R., Kivlichan, I. D., Romero, J., McClean, J. R., Barends, R., Kelly, J., Roushan, P., Tranter, A., Ding, N., et al. (2016) · Physical Review X

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 1,059

Quantum error correction below the surface code threshold

Collaborators, G. Q. A. A., Acharya, R., Abanin, D. A., Aghababaie-Beni, L., Aleiner, I., Andersen, T. I., Ansmann, M., Arute, F., Arya, K., Asfaw, A., et al. (2025) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 778

Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz

Romero, J., Babbush, R., McClean, J. R., Hempel, C., Love, P. J., & Aspuru-Guzik, A. (2019) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 726

Quantum advantage in learning from experiments

Huang, H.-Y., Broughton, M., Cotler, J., Chen, S., Li, J., Mohseni, M., Neven, H., Babbush, R., Kueng, R., Preskill, J., et al. (2022) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 519

Quantum Simulation of Electronic Structure with Linear Depth and Connectivity

Kivlichan, I. D., McClean, J., Wiebe, N., Gidney, C., Aspuru-Guzik, A., Chan, G. K.-L., & Babbush, R. (2018) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 431

Exponential suppression of bit or phase errors with cyclic error correction

Google Quantum, A. I., Chen, Z., Satzinger, K. J., Atalaya, J., Korotkov, A. N., Dunsworth, A., Sank, D., Quintana, C., McEwen, M., Barends, R., et al. (2021) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 393

Encoding Electronic Spectra in Quantum Circuits with Linear T Complexity

Babbush, R., Gidney, C., Berry, D. W., Wiebe, N., McClean, J., Paler, A., Fowler, A., & Neven, H. (2018) · Physical Review X

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 383

Fluctuations of Energy-Relaxation Times in Superconducting Qubits

Klimov, P. V., Kelly, J., Chen, Z., Neeley, M., Megrant, A., Burkett, B., Barends, R., Arya, K., Chiaro, B., Chen, Y., et al. (2018) · Physical Review Letters

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 328

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

Broughton, M., Verdon, G., McCourt, T., Martinez, A. J., Yoo, J. H., Isakov, S. V., Massey, P., Halavati, R., Niu, M. Y., Zlokapa, A., et al. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques

Cited by 308

Even More Efficient Quantum Computations of Chemistry Through Tensor Hypercontraction

Lee, J., Berry, D. W., Gidney, C., Huggins, W. J., McClean, J. R., Wiebe, N., & Babbush, R. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 304

Information scrambling in quantum circuits

Mi, X., Roushan, P., Quintana, C., Mandrà, S., Marshall, J., Neill, C., Arute, F., Arya, K., Atalaya, J., Babbush, R., et al. (2021) · Science

Quantum many-body systemsQuantum Computing Algorithms and Architecture

Cited by 283

Commercialize quantum technologies in five years

Mohseni, M., Read, P., Neven, H., Boixo, S., Denchev, V., Babbush, R., Fowler, A., Smelyanskiy, V., & Martinis, J. (2017) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 268

Efficient and noise resilient measurements for quantum chemistry on near-term quantum computers

Huggins, W. J., McClean, J. R., Rubin, N. C., Jiang, Z., Wiebe, N., Whaley, K. B., & Babbush, R. (2021) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 256

Qubitization of Arbitrary Basis Quantum Chemistry Leveraging Sparsity and Low Rank Factorization

Berry, D. W., Gidney, C., Motta, M., McClean, J. R., & Babbush, R. (2019) · Quantum

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 222

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

Adiabatic Quantum Simulation of Quantum Chemistry

Babbush, R., Love, P. J., & Aspuru-Guzik, A. (2014) · Scientific Reports

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 191

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