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Pooya Ronagh
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2020 – today
- 2024
- [i15]Allyson Silva, Xiangyi Zhang, Zak Webb, Mia Kramer, Chan Woo Yang, Xiao Liu, Jessica Lemieux, Ka-Wai Chen, Artur Scherer, Pooya Ronagh:
Multi-qubit Lattice Surgery Scheduling. CoRR abs/2405.17688 (2024) - 2023
- [c1]Farhad Khosravi, Artur Scherer, Pooya Ronagh:
Mixed-Integer Programming Using a Bosonic Quantum Computer. QCE 2023: 184-195 - [i14]Noah A. Crum, Leanto Sunny, Pooya Ronagh, Raymond Laflamme, Radhakrishnan Balu, George Siopsis:
On the Computational Cost of Stochastic Security. CoRR abs/2305.07973 (2023) - [i13]Frédéric Marcotte, Pierre-Antoine Mouny, Victor Yon, Gebremedhin A. Dagnew, Bohdan Kulchytskyy, Sophie Rochette, Yann Beilliard, Dominique Drouin, Pooya Ronagh:
A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction. CoRR abs/2307.09463 (2023) - 2022
- [j7]Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla
, Pooya Ronagh
:
Neural Error Mitigation of Near-Term Quantum Simulations. Nat. Mach. Intell. 4(7): 618-624 (2022) - [j6]Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh
:
Quantum algorithms for structured prediction. Quantum Mach. Intell. 4(2): 1-25 (2022) - [i12]Farhad Khosravi, Ugur Yildiz, Artur Scherer, Pooya Ronagh:
Non-convex Quadratic Programming Using Coherent Optical Networks. CoRR abs/2209.04415 (2022) - [i11]Arsalan Motamedi, Pooya Ronagh:
Gibbs Sampling of Periodic Potentials on a Quantum Computer. CoRR abs/2210.08104 (2022) - 2021
- [i10]Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh:
Neural Error Mitigation of Near-Term Quantum Simulations. CoRR abs/2105.08086 (2021) - [i9]Farhad Khosravi, Artur Scherer, Pooya Ronagh:
Mixed-Integer Programming Using a Bosonic Quantum Computer. CoRR abs/2112.13917 (2021) - 2020
- [j5]Kyle Mills
, Pooya Ronagh
, Isaac Tamblyn
:
Finding the ground state of spin Hamiltonians with reinforcement learning. Nat. Mach. Intell. 2(9): 509-517 (2020) - [i8]Kyle Mills, Pooya Ronagh, Isaac Tamblyn:
Controlled Online Optimization Learning (COOL): Finding the ground state of spin Hamiltonians with reinforcement learning. CoRR abs/2003.00011 (2020)
2010 – 2019
- 2019
- [j4]Sahar Karimi
, Pooya Ronagh:
Practical integer-to-binary mapping for quantum annealers. Quantum Inf. Process. 18(4): 94 (2019) - [i7]Pooya Ronagh:
Quantum Algorithms for Solving Dynamic Programming Problems. CoRR abs/1906.02229 (2019) - 2018
- [j3]Daniel Crawford, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, Pooya Ronagh:
Reinforcement learning using quantum Boltzmann machines. Quantum Inf. Comput. 18(1&2): 51-74 (2018) - [i6]Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh:
Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers. CoRR abs/1809.04091 (2018) - 2017
- [j2]Sahar Karimi
, Pooya Ronagh:
A subgradient approach for constrained binary optimization via quantum adiabatic evolution. Quantum Inf. Process. 16(8): 185 (2017) - [i5]Anna Levit, Daniel Crawford, Navid Ghadermarzy, Jaspreet S. Oberoi, Ehsan Zahedinejad, Pooya Ronagh:
Free energy-based reinforcement learning using a quantum processor. CoRR abs/1706.00074 (2017) - [i4]Sahar Karimi, Pooya Ronagh:
Practical Integer-to-Binary Mapping for Quantum Annealers. CoRR abs/1706.01945 (2017) - 2016
- [j1]Pooya Ronagh, Brad Woods, Ehsan Iranmanesh:
Solving constrained quadratic binary problems via quantum adiabatic evolution. Quantum Inf. Comput. 16(11&12): 1029-1047 (2016) - [i3]Sahar Karimi, Pooya Ronagh:
A subgradient approach for constrained binary programming via quantum adiabatic evolution. CoRR abs/1605.09462 (2016) - [i2]Daniel Crawford, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, Pooya Ronagh:
Reinforcement Learning Using Quantum Boltzmann Machines. CoRR abs/1612.05695 (2016) - 2015
- [i1]Pooya Ronagh, Brad Woods, Ehsan Iranmanesh:
Solving constrained quadratic binary problems via quantum adiabatic evolution. CoRR abs/1509.05001 (2015)
Coauthor Index
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