| Machine learning assisted quantum state estimation S Lohani, BT Kirby, M Brodsky, O Danaci, RT Glasser Machine Learning: Science and Technology 1 (3), 035007, 2020 | 83 | 2020 |
| Deep learning as a tool to distinguish between high orbital angular momentum optical modes EM Knutson, S Lohani, O Danaci, SD Huver, RT Glasser Optics and Photonics for Information Processing X 9970, 236-242, 2016 | 57 | 2016 |
| Machine learning pipeline for quantum state estimation with incomplete measurements O Danaci, S Lohani, BT Kirby, RT Glasser Machine Learning: Science and Technology 2 (3), 035014, 2021 | 27 | 2021 |
| Multimode four-wave mixing with a spatially structured pump JD Swaim, EM Knutson, O Danaci, RT Glasser Optics letters 43 (11), 2716-2719, 2018 | 19 | 2018 |
| Atomic vapor as a source of tunable, non-Gaussian self-reconstructing optical modes JD Swaim, KN David, EM Knutson, C Rios, O Danaci, RT Glasser Scientific reports 7 (1), 42311, 2017 | 14 | 2017 |
| All-optical mode conversion via spatially multimode four-wave mixing O Danaci, C Rios, RT Glasser New Journal of Physics 18 (7), 073032, 2016 | 11 | 2016 |
| Curriculum reinforcement learning for quantum architecture search under hardware errors YJ Patel, A Kundu, M Ostaszewski, X Bonet-Monroig, V Dunjko, O Danaci arXiv preprint arXiv:2402.03500, 2024 | 2 | 2024 |
| Quantum state estimation from partial tomography data using a stack of machine learning models and imputation O Danaci, S Lohani, BT Kirby, M Brodsky, RT Glasser Frontiers in Optics, FTu8D. 5, 2020 | 2 | 2020 |
| Generation of self-healing beams via four-wave mixing optical mode conversion O Danaci, C Rios, RT Glasser Laser Beam Shaping XVII 9950, 69-76, 2016 | 2 | 2016 |
| Enhancing variational quantum state diagonalization using reinforcement learning techniques A Kundu, P Bedełek, M Ostaszewski, O Danaci, YJ Patel, V Dunjko, ... New Journal of Physics 26 (1), 013034, 2024 | 1 | 2024 |
| Spatially multimode four-wave mixing for optical mode transformation O Danaci, C Rios, R Glasser APS March Meeting Abstracts 2017, Y27. 003, 2017 | 1 | 2017 |
| ManQala: Game-inspired strategies for quantum state engineering O Danaci, W Zhang, R Coleman, W Djakam, M Amoo, RT Glasser, ... AVS Quantum Science 5 (3), 2023 | | 2023 |
| Enhancing quantum variational state diagonalization using reinforcement learning techniques A Kundu, P Bedełek, M Ostaszewski, O Danaci, V Dunjko, JA Miszczak arXiv preprint arXiv:2306.11086, 2023 | | 2023 |
| Quantum State Engineering with a Mancala Game on a Real Quantum Board O Danaci, W Djakam, R Colemean, M Amoo, B Kirby, R Glasser, M N'gom, ... APS March Meeting Abstracts 2022, Y38. 011, 2022 | | 2022 |
| Demonstrating a Quantum Permutation Algorithm with Higher Qubit (up to 16-qubit) Near-term Intermediate Scale Quantum Processors A Blackwell, O Danaci, T Searles APS March Meeting Abstracts 2022, M40. 002, 2022 | | 2022 |
| Machine learning for enhancing quantum state estimation RT Glasser, S Lohani, BT Kirby, M Brodsky, O Danaci, TA Searles Optical and Quantum Sensing and Precision Metrology 11700, 117001D, 2021 | | 2021 |
| Multimode squeezed light and coupled squeezed vacuum (Conference Presentation) RT Glasser, W Zhang, EM Knutson, SK Wyllie, JS Cross, O Danaci Optical, Opto-Atomic, and Entanglement-Enhanced Precision Metrology II 11296 …, 2020 | | 2020 |
| Control of Classical & Quantum Multispatial Modes of Light for Quantum Networks Through Nonlinear Optics and Machine Learning O Danaci Tulane University, 2020 | | 2020 |
| Tunable self-healing optical state generation via atomic vapor E Knutson, J Swaim, K David, C Rios, O Danaci, R Glasser APS March Meeting Abstracts 2017, Y27. 005, 2017 | | 2017 |
| Quantum Control of Hyperbolic Metamaterials O Danacı Koç University, 2015 | | 2015 |
