| High-fidelity single-shot Toffoli gate via quantum control E Zahedinejad, J Ghosh, BC Sanders Physical review letters 114 (20), 200502, 2015 | 151 | 2015 |
| Designing high-fidelity single-shot three-qubit gates: a machine-learning approach E Zahedinejad, J Ghosh, BC Sanders Physical Review Applied 6 (5), 054005, 2016 | 124 | 2016 |
| Learning in quantum control: High-dimensional global optimization for noisy quantum dynamics P Palittapongarnpim, P Wittek, E Zahedinejad, S Vedaie, BC Sanders Neurocomputing 268, 116-126, 2017 | 113 | 2017 |
| Evolutionary algorithms for hard quantum control E Zahedinejad, S Schirmer, BC Sanders arXiv preprint arXiv:1403.0943, 2014 | 100 | 2014 |
| Combinatorial optimization on gate model quantum computers: A survey E Zahedinejad, A Zaribafiyan arXiv preprint arXiv:1708.05294, 2017 | 83 | 2017 |
| Methods and systems for unified quantum computing frameworks A ZARIBAFIYAN, E ZAHEDINEJAD US Patent App. 15/900,643, 2018 | 45 | 2018 |
| Development of a 2-D 2-group neutron noise simulator for hexagonal geometries H Malmir, N Vosoughi, E Zahedinejad Annals of Nuclear Energy 37 (8), 1089-1100, 2010 | 39 | 2010 |
| Quantum control for high-fidelity multi-qubit gates RJ Spiteri, M Schmidt, J Ghosh, E Zahedinejad, BC Sanders New Journal of Physics 20 (11), 113009, 2018 | 35 | 2018 |
| Free energy-based reinforcement learning using a quantum processor A Levit, D Crawford, N Ghadermarzy, JS Oberoi, E Zahedinejad, ... arXiv preprint arXiv:1706.00074, 2017 | 35 | 2017 |
| The power of one qubit in machine learning R Ghobadi, JS Oberoi, E Zahedinejhad arXiv preprint arXiv:1905.01390, 2019 | 21 | 2019 |
| Analog-quantum feature mapping for machine-learning applications M Noori, SS Vedaie, I Singh, D Crawford, JS Oberoi, BC Sanders, ... Physical Review Applied 14 (3), 034034, 2020 | 19 | 2020 |
| Quantum storage and retrieval of light by sweeping the atomic frequency H Kaviani, M Khazali, R Ghobadi, E Zahedinejad, K Heshami, C Simon New Journal of Physics 15 (8), 085029, 2013 | 16 | 2013 |
| Quantum multiple kernel learning SS Vedaie, M Noori, JS Oberoi, BC Sanders, E Zahedinejad arXiv preprint arXiv:2011.09694, 2020 | 15 | 2020 |
| Method and system for identifying at least one community in a dataset comprising a plurality of elements JS OBEROI, S Mukherjee, C ADOLPHS, E ZAHEDINEJAD, DJ Crawford US Patent App. 17/254,661, 2021 | 11 | 2021 |
| Comparison between triangular and hexagonal modeling of a hexagonal-structured reactor core using box method H Malmir, NM Moghaddam, E Zahedinejad Annals of Nuclear Energy 38 (2-3), 371-378, 2011 | 11 | 2011 |
| Method for estimating the thermodynamic properties of a quantum Ising model with transverse field P RONAGH, A LEVIT, E ZAHEDINEJAD, D CRAWFORD US Patent 10,929,576, 2021 | 8 | 2021 |
| Combinatorial optimization on gate model quantum computers: A survey. arXiv 2017 E Zahedinejad, A Zaribafiyan arXiv preprint arXiv:1708.05294, 0 | 7 | |
| Multi-community detection in signed graphs using quantum hardware E Zahedinejad, D Crawford, C Adolphs, JS Oberoi arXiv preprint arXiv:1901.04873, 2019 | 4 | 2019 |
| SHTV, as a technique for core calculation using spatial homogenization and temperature variation NM Moghaddam, E Zahedinejad, S Kashi, H Davilu Annals of Nuclear Energy 37 (9), 1129-1138, 2010 | 4 | 2010 |
| Method and system for estimating trace operator for a machine learning task R GHOBADI, JS OBEROI, E ZAHEDINEJAD US Patent App. 16/864,950, 2020 | 3 | 2020 |
