Kivlichan, Ian

Quantum Chemistry in the Age of Quantum Computing

Cao, Y., Romero, J., Olson, J. P., Degroote, M., Johnson, P. D., Kieferová, M., Kivlichan, I. D., Menke, T., Peropadre, B., Sawaya, N. P. D., et al. (2019) · Chemical Reviews

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 1,560

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 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

GPT-4o System Card

OpenAI, :, Hurst, A., Lerer, A., Goucher, A. P., Perelman, A., Ramesh, A., Clark, A., Ostrow, A., Welihinda, A., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 180

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

Exponentially more precise quantum simulation of fermions in second quantization

Babbush, R., Berry, D. W., Kivlichan, I. D., Wei, A. Y., Love, P. J., & Aspuru-Guzik, A. (2016) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 135

Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation

Goyal, N., Kivlichan, I. D., Rosen, R., & Vasserman, L. (2022) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 76

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation

Díaz, M., Kivlichan, I., Rosen, R., Baker, D., Amironesei, R., Prabhakaran, V., & Denton, R. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIMobile Crowdsensing and Crowdsourcing

Cited by 72

OpenAI o1 System Card

OpenAI, :, Jaech, A., Kalai, A., Lerer, A., Richardson, A., El-Kishky, A., Low, A., Helyar, A., Madry, A., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 50

OpenAI GPT-5 System Card

Singh, A., Fry, A., Perelman, A., Tart, A., Ganesh, A., El-Kishky, A., McLaughlin, A., Low, A., Ostrow, A., Ananthram, A., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

Quantum Information and Computation for Chemistry

Olson, J., Cao, Y., Romero, J., Johnson, P., Dallaire-Demers, P.-L., Sawaya, N., Narang, P., Kivlichan, I., Wasielewski, M., & Aspuru-Guzik, A. (2017) · arXiv

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 15

Rule Based Rewards for Language Model Safety

Mu, T., Helyar, A., Heidecke, J., Achiam, J., Vallone, A., Kivlichan, I., Lin, M., Beutel, A., Schulman, J., & Weng, L. (2024) · Advances in Neural Information Processing Systems 37

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 14