| Qiskit: An open-source framework for quantum computing G Aleksandrowicz, T Alexander, P Barkoutsos, L Bello, Y Ben-Haim, ... Accessed on: Mar 16, 61, 2019 | 1786* | 2019 |
| Demonstration of quantum volume 64 on a superconducting quantum computing system P Jurcevic, A Javadi-Abhari, LS Bishop, I Lauer, DF Bogorin, M Brink, ... Quantum Science and Technology 6 (2), 025020, 2021 | 586 | 2021 |
| Challenges and opportunities in quantum optimization A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... Nature Reviews Physics, 1-18, 2024 | 395* | 2024 |
| Improving variational quantum optimization using CVaR PK Barkoutsos, G Nannicini, A Robert, I Tavernelli, S Woerner Quantum 4, 256, 2020 | 339 | 2020 |
| An effective algorithm for hyperparameter optimization of neural networks GI Diaz, A Fokoue-Nkoutche, G Nannicini, H Samulowitz IBM Journal of Research and Development 61 (4/5), 9: 1-9: 11, 2017 | 283 | 2017 |
| RBFOpt: an open-source library for black-box optimization with costly function evaluations A Costa, G Nannicini Mathematical Programming Computation 10 (4), 597-629, 2018 | 276 | 2018 |
| Leveraging secondary storage to simulate deep 54-qubit sycamore circuits E Pednault, JA Gunnels, G Nannicini, L Horesh, R Wisnieff arXiv preprint arXiv:1910.09534, 2019 | 274 | 2019 |
| Pareto-efficient quantum circuit simulation using tensor contraction deferral E Pednault, JA Gunnels, G Nannicini, L Horesh, T Magerlein, ... arXiv preprint arXiv:1710.05867, 2017 | 232* | 2017 |
| Performance of hybrid quantum-classical variational heuristics for combinatorial optimization G Nannicini Physical Review E 99 (1), 013304, 2019 | 192 | 2019 |
| Bidirectional A ∗ Search for Time-Dependent Fast Paths G Nannicini, D Delling, L Liberti, D Schultes International Workshop on Experimental and Efficient Algorithms, 334-346, 2008 | 174 | 2008 |
| Bidirectional A* search on time‐dependent road networks G Nannicini, D Delling, D Schultes, L Liberti Networks, 2010 | 157 | 2010 |
| Advantages of surrogate models for architectural design optimization T Wortmann, A Costa, G Nannicini, T Schroepfer AI EDAM 29 (4), 471-481, 2015 | 156 | 2015 |
| Introduction to architectural design optimization T Wortmann, G Nannicini City Networks: Collaboration and Planning for Health and Sustainability, 259-278, 2017 | 102 | 2017 |
| Quantum tomography using state-preparation unitaries J van Apeldoorn, A Cornelissen, A Gilyén, G Nannicini Proceedings of the 2023 annual ACM-SIAM symposium on discrete algorithms …, 2023 | 93 | 2023 |
| Optimal qubit assignment and routing via integer programming G Nannicini, LS Bishop, O Günlük, P Jurcevic ACM Transactions on Quantum Computing 4 (1), 1-31, 2022 | 91 | 2022 |
| Core routing on dynamic time-dependent road networks D Delling, G Nannicini INFORMS Journal on Computing 24 (2), 187-201, 2012 | 83 | 2012 |
| Rounding-based heuristics for nonconvex MINLPs G Nannicini, P Belotti Mathematical Programming Computation 4 (1), 1-31, 2012 | 77 | 2012 |
| Quantum interior point methods for semidefinite optimization B Augustino, G Nannicini, T Terlaky, LF Zuluaga Quantum 7, 1110, 2023 | 69 | 2023 |
| An introduction to quantum computing, without the physics G Nannicini SIAM Review 62 (4), 936-981, 2020 | 67 | 2020 |
| Are genetic algorithms really the best choice for building energy optimization? T Wortmann, C Waibel, G Nannicini, R Evins, T Schroepfer, J Carmeliet Proceedings of the Symposium on Simulation for Architecture and Urban Design …, 2017 | 67 | 2017 |
Lior HoreshIBM TJ Watson Research Center | Columbia UniversityVerified email at us.ibm.com
