| Reinforcement quantum annealing: A hybrid quantum learning automata R Ayanzadeh, M Halem, T Finin Scientific reports 10 (1), 7952, 2020 | 58* | 2020 |
| A survey on compressive sensing: Classical results and recent advancements A Mousavi, M Rezaee, R Ayanzadeh arXiv preprint arXiv:1908.01014, 2019 | 57 | 2019 |
| Quantum annealing based binary compressive sensing with matrix uncertainty R Ayanzadeh, S Mousavi, M Halem, T Finin arXiv preprint arXiv:1901.00088, 2019 | 33 | 2019 |
| Multi-qubit correction for quantum annealers R Ayanzadeh, J Dorband, M Halem, T Finin Scientific Reports 11 (1), 1-12, 2021 | 29* | 2021 |
| Hammer: boosting fidelity of noisy quantum circuits by exploiting hamming behavior of erroneous outcomes S Tannu, P Das, R Ayanzadeh, M Qureshi Proceedings of the 27th ACM International Conference on Architectural …, 2022 | 27* | 2022 |
| An ensemble approach for compressive sensing with quantum annealers R Ayanzadeh, M Halem, T Finin IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 25* | 2020 |
| Two-layer cellular automata based cryptography A Jaberi, R Ayanzadeh, ASZ Mousavi Trends in applied sciences research 7 (1), 68, 2012 | 22 | 2012 |
| Quantum-assisted greedy algorithms R Ayanzadeh, J Dorband, M Halem, T Finin IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 21 | 2022 |
| Frozenqubits: Boosting fidelity of QAOA by skipping hotspot nodes R Ayanzadeh, N Alavisamani, P Das, M Qureshi Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 20 | 2023 |
| SAT-based Compressive Sensing R Ayanzadeh, M Halem, T Finin arXiv preprint arXiv:1903.03650, 2019 | 16 | 2019 |
| Multi-layer cellular automata for generating normal random numbers R Ayanzadeh, Y Moghaddas, S Setayeshi, K Hassani, H Gheiby 2010 18th Iranian Conference on Electrical Engineering, 495-500, 2010 | 16 | 2010 |
| Fuzzy cellular automata based random numbers generation R Ayanzadeh, A Mousvi, S Setayeshi Trends in Applied Science Research 7 (1), 96-102, 2012 | 15* | 2012 |
| Fossil fuel consumption prediction using emotional learning in Amygdala R Ayanzadeh, ASZ Mousavi, S Setayeshi 2011 19th Iranian Conference on Electrical Engineering, 1-6, 2011 | 15 | 2011 |
| Honey bees foraging optimization for mixed nash equilibrium estimation R Ayanzadeh, ASZ Mousavi, H Navidi Trends in Applied Sciences Research 6 (12), 1352, 2011 | 13 | 2011 |
| Adaptive imitation scheme for memetic algorithms E Shahamatnia, R Ayanzadeh, RA Ribeiro, S Setayeshi Technological Innovation for Sustainability: Second IFIP WG 5.5/SOCOLNET …, 2011 | 13 | 2011 |
| Determining optimum queue length in computer networks by using memetic algorithms R Ayanzadeh, E Shahamatni, S Setayeshi Journal of Applied Sciences 9 (15), 2847-2851, 2009 | 12 | 2009 |
| Innovative approach to generate uniform random numbers based on a novel cellular automata R Ayanzadeh, K Hassani, Y Moghaddas, H Gheiby, S Setayeshi Journal of Applied Sciences 9 (22), 4071-4075, 2009 | 10 | 2009 |
| Leveraging Artificial Intelligence to Advance Problem-Solving with Quantum Annealers R Ayanzadeh PQDT-Global, 2020 | 9 | 2020 |
| EQUAL: Improving the fidelity of quantum annealers by injecting controlled perturbations R Ayanzadeh, P Das, S Tannu, M Qureshi 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 8 | 2022 |
| Discrete time dynamic neural networks for predicting chaotic time series F Marzban, R Ayanzadeh, P Marzban Journal of Artificial Intelligence 7 (1), 24, 2014 | 8 | 2014 |
Tim FininUniversity of Maryland, Baltimore CountyZweryfikowany adres z umbc.edu