| Reinforcement learning using quantum Boltzmann machines D Crawford, A Levit, N Ghadermarzy, JS Oberoi, P Ronagh Quantum Information and Computation 18 (1&2), 0051–0074, 2018 | 107 | 2018 |
| Deep neural decoders for near term fault-tolerant experiments C Chamberland, P Ronagh Quantum Science and Technology 3 (4), 044002, 2018 | 84 | 2018 |
| Methods and systems for quantum computing M Dadashikelayeh, A Zaribafiyan, S Karimi, P Ronagh US Patent 10,044,638, 2018 | 38 | 2018 |
| Finding the ground state of spin Hamiltonians with reinforcement learning K Mills, P Ronagh, I Tamblyn Nature Machine Intelligence 2 (9), 509-517, 2020 | 31 | 2020 |
| Neural error mitigation of near-term quantum simulations ER Bennewitz, F Hopfmueller, B Kulchytskyy, J Carrasquilla, P Ronagh Nature Machine Intelligence 4 (7), 618-624, 2022 | 30 | 2022 |
| Practical integer-to-binary mapping for quantum annealers S Karimi, P Ronagh Quantum Information Processing 18 (4), 94, 2019 | 27 | 2019 |
| 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 | 25 | 2017 |
| The Problem of Dynamic Programming on a Quantum Computer P Ronagh arXiv preprint arXiv:1906.02229, 2019 | 20* | 2019 |
| Method and system for solving the lagrangian dual of a constrained binary quadratic programming problem using a quantum annealer P Ronagh, E Iranmanesh, B Woods US Patent App. 15/014,576, 2016 | 18 | 2016 |
| Method and system for improving a policy for a stochastic control problem D Crawford, P Ronagh, A Levit US Patent 11,017,289, 2021 | 16 | 2021 |
| Methods and systems for setting a system of super conducting qubits having a hamiltonian representative of a polynomial on a bounded integer domain S Karimi, P Ronagh US Patent App. 15/165,655, 2017 | 15 | 2017 |
| The inertia operator on the motivic Hall algebra K Behrend, P Ronagh Compositio Mathematica 155 (3), 528-598, 2019 | 14 | 2019 |
| Solving constrained quadratic binary problems via quantum adiabatic evolution P Ronagh, B Woods, E Iranmanesh Quantum Information and Computation 16 (11&12), 1029-1047, 2016 | 14 | 2016 |
| A subgradient approach for constrained binary optimization via quantum adiabatic evolution S Karimi, P Ronagh Quantum Information Processing 16 (8), 185, 2017 | 13* | 2017 |
| Method and system for solving a convex integer quadratic programming problem using a binary optimizer P Ronagh US Patent 9,836,432, 2017 | 12 | 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 | 10 | 2021 |
| Method and system for solving the lagrangian dual of a binary polynomially constrained polynomial programming problem using a quantum annealer S Karimi, P Ronagh US Patent App. 15/051,271, 2017 | 10 | 2017 |
| Method and system for continuous optimization using a binary sampling device P Ronagh US Patent 10,275,423, 2019 | 9 | 2019 |
| Method and system for solving a minimum connected dominating set problem using quantum annealing for distance optimization SSC REZAEI, B Woods, P Ronagh US Patent 10,268,964, 2019 | 9 | 2019 |
| Quantum processor and its use for implementing a neural network P Ronagh, A Levit, D Crawford US Patent 10,229,355, 2019 | 6 | 2019 |
Dan CrawfordVerified email at ece.ubc.ca
