| Reinforcement learning using quantum Boltzmann machines D Crawford, A Levit, N Ghadermarzy, JS Oberoi, P Ronagh arXiv preprint arXiv:1612.05695, 2016 | 113 | 2016 |
| Learning tensors from partial binary measurements N Ghadermarzy, Y Plan, O Yilmaz IEEE Transactions on Signal Processing 67 (1), 29-40, 2018 | 38 | 2018 |
| Near-optimal sample complexity for convex tensor completion N Ghadermarzy, Y Plan, O Yilmaz arXiv preprint arXiv:1711.04965, 2017 | 31 | 2017 |
| 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 | 23 | 2017 |
| Benchmark study of quantum algorithms for combinatorial optimization: Unitary versus dissipative K Sankar, A Scherer, S Kako, S Reifenstein, N Ghadermarzy, ... arXiv preprint arXiv:2105.03528, 2021 | 11 | 2021 |
| Non-convex compressed sensing using partial support information N Ghadermarzy, H Mansour, Ö Yılmaz Sampling Theory in Signal and Image Processing 13, 249-270, 2014 | 11 | 2014 |
| Nuwa: A quantum circuit transpiler based on a finite-horizon heuristic for placement and routing S Ren, KW Chen, N Ghadermarzy, B Nguyen, Y Huang, P Ronagh arXiv preprint arXiv:2110.00592, 2021 | 3 | 2021 |
| Method and system for estimating physical quantities of a plurality of models using a sampling device P Ronagh, N Ghadermarzy, B Kulchytskyy, A Levit US Patent App. 17/196,825, 2021 | 3 | 2021 |
| Near-optimal sample complexity for noisy or 1-bit tensor completion N Ghadermarzy University of British Columbia, 2018 | 2 | 2018 |
| Free Energy-Based Reinforcement Learning Using Quantum Monte Carlo and Quantum Annealing P Ronagh, A Levit, D Crawford, N Ghadermarzy, J Oberoi, E Zahedinejad APS March Meeting Abstracts 2018, P34. 010, 2018 | 2 | 2018 |
| Weighted and reweighted approximate message passing N Ghadermarzy, O Yilmaz Wavelets and Sparsity XV 8858, 66-79, 2013 | 2 | 2013 |
| Seismic trace interpolation with approximate message passing N Ghadermarzy, F Herrmann, Ö Yilmaz SEG Technical Program Expanded Abstracts 2014, 3621-3626, 2014 | 1 | 2014 |
| Using prior support information in compressed sensing N Ghadermarzy University of British Columbia, 2013 | 1 | 2013 |
| METHODS AND SYSTEMS FOR ALLOCATING QUBITS ON A QUANTUM CHIP STRUCTURE REPRESENTED BY A GRAPH S Ren, K Chen, N Ghadermarzy, P Ronagh US Patent App. 18/489,733, 2024 | | 2024 |
| Reinforcement Learning via Replica Stacking of Quantum Measurements for the Training of Quantum Boltzmann Machines A Levit, D Crawford, N Ghadermarzy, JS Oberoi, E Zahedinejad, ... | | 2018 |
| Sparse inversion simplified N Tu, N Ghadermarzy, R Kumar | | 2018 |
| Reinforcement Learning via Boltzmann Machines Implemented on Quantum Annealers A Levit, D Crawford, P Ronagh, J Oberoi, N Ghadermarzy AGU Fall Meeting Abstracts 2016, IN11D-1644, 2016 | | 2016 |
| Quantum Reinforcement Learning D Crawford, A Levit, N Ghadermarzy, JS Oberoi, P Ronagh | | |
Pooya RonaghUniversity of WaterlooVerified email at uwaterloo.ca
