Quantum optimization: Potential, challenges, and the path forward A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... arXiv preprint arXiv:2312.02279, 2023 | 37 | 2023 |
Donaldson-Witten theory and indefinite theta functions G Korpas, J Manschot Journal of High Energy Physics 2017 (11), 1-30, 2017 | 28 | 2017 |
Renormalization and BRST symmetry in Donaldson–Witten theory G Korpas, J Manschot, GW Moore, I Nidaiev Annales Henri Poincaré 20, 3229-3264, 2019 | 21 | 2019 |
Mocking the u-plane integral G Korpas, J Manschot, GW Moore, I Nidaiev Research in the Mathematical Sciences 8 (3), 43, 2021 | 20 | 2021 |
Quantum optimization: Potential, challenges, and the path forward (2023) A Abbas, A Ambainis, B Augustino, A Bärtschi, H Buhrman, C Coffrin, ... arXiv preprint arXiv:2312.02279, 0 | 10 | |
The u-plane integral, mock modularity and enumerative geometry J Aspman, E Furrer, G Korpas, ZC Ong, MC Tan Letters in Mathematical Physics 112 (2), 30, 2022 | 9 | 2022 |
A survey of quantum alternatives to randomized algorithms: Monte carlo integration and beyond P Intallura, G Korpas, S Chakraborty, V Kungurtsev, J Marecek arXiv preprint arXiv:2303.04945, 2023 | 8 | 2023 |
Iteration Complexity of Variational Quantum Algorithms V Kungurtsev, G Korpas, J Marecek, EY Zhu arXiv preprint arXiv:2209.10615, Accepted at Quantum, 2022 | 8 | 2022 |
Recovering models of open quantum systems from data via polynomial optimization: Towards globally convergent quantum system identification DI Bondar, Z Popovych, K Jacobs, G Korpas, J Marecek arXiv preprint arXiv:2203.17164, 2022 | 8 | 2022 |
Mock modularity and surface defects in topological N=2 super Yang-Mills theory G Korpas Phys. Rev. D 105 (026025), 2022 | 7 | 2022 |
Approaching Collateral Optimization for NISQ and Quantum-Inspired Computing M Giron, G Korpas, W Parvaiz, P Malik, J Aspman IEEE Transactions on Quantum Engineering 4, 1-18, 2023 | 5 | 2023 |
Polynomial matrix inequalities within tame geometry C Aravanis, J Aspman, G Korpas, J Marecek arXiv preprint arXiv:2206.03941, 2022 | 5 | 2022 |
Quantum optimal control via polynomial optimization: A globally convergent approach DI Bondar, K Jacobs, G Korpas, J Marecek, J Vala arXiv preprint arXiv:2209.05790, 2022 | 5 | 2022 |
Quantum state tomography as a bilevel problem, utilizing IQ plane data G Korpas, J Marecek arXiv preprint arXiv:2108.03448, 2021 | 5 | 2021 |
Donaldson-Witten theory, surface operators and mock modular forms G Korpas arXiv preprint arXiv:1810.07057, 2018 | 5 | 2018 |
Taming binarized neural networks and mixed-integer programs J Aspman, G Korpas, J Marecek Proceedings of the AAAI Conference on Artificial Intelligence 38 (10: AAAI …, 2023 | 3 | 2023 |
Fleming-Viot helps speed up variational quantum algorithms in the presence of barren plateaus D Mastropietro, G Korpas, V Kungurtsev, J Marecek arXiv preprint arXiv:2311.18090, 2023 | 2 | 2023 |
A globally convergent approach for quantum control and system identification D Bondar, K Jacobs, G Korpas, J Marecek, Z Popovych, J Vala APS March Meeting Abstracts 2023, Q71. 007, 2023 | 2 | 2023 |
Transpiling quantum circuits using the pentagon equation C Aravanis, G Korpas, J Marecek Available at SSRN 4709808, 2022 | 2 | 2022 |
Predicting Ising Model Performance on Quantum Annealers S Certo, G Korpas, A Vlasic, P Intallura arXiv preprint arXiv:2311.07388, 2023 | 1 | 2023 |