Pooya Ronagh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 23

Top Topics

Boltzmann Machines

Reinforcement Learning

Structured Prediction

Convex Quadratic Programming

Top Venues

Nat. Mach. Intell.

Quantum Inf. Comput.

Quantum Inf. Process.

Publications

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. TQC (2024)
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 (2024)
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 (2023)
Noah A. Crum, Leanto Sunny, Pooya Ronagh, Raymond Laflamme, Radhakrishnan Balu, George Siopsis
On the Computational Cost of Stochastic Security. CoRR (2023)
Farhad Khosravi, Artur Scherer, Pooya Ronagh
Mixed-Integer Programming Using a Bosonic Quantum Computer. QCE (2023)
Farhad Khosravi, Ugur Yildiz, Artur Scherer, Pooya Ronagh
Non-convex Quadratic Programming Using Coherent Optical Networks. CoRR (2022)
Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh
Quantum algorithms for structured prediction. Quantum Mach. Intell. 4 (2) (2022)
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
Neural Error Mitigation of Near-Term Quantum Simulations. Nat. Mach. Intell. 4 (7) (2022)
Arsalan Motamedi, Pooya Ronagh
Gibbs Sampling of Periodic Potentials on a Quantum Computer. CoRR (2022)
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
Neural Error Mitigation of Near-Term Quantum Simulations. CoRR (2021)
Farhad Khosravi, Artur Scherer, Pooya Ronagh
Mixed-Integer Programming Using a Bosonic Quantum Computer. CoRR (2021)
Kyle Mills, Pooya Ronagh, Isaac Tamblyn
Controlled Online Optimization Learning (COOL): Finding the ground state of spin Hamiltonians with reinforcement learning. CoRR (2020)
Kyle Mills, Pooya Ronagh, Isaac Tamblyn
Finding the ground state of spin Hamiltonians with reinforcement learning. Nat. Mach. Intell. 2 (9) (2020)
Pooya Ronagh
Quantum Algorithms for Solving Dynamic Programming Problems. CoRR (2019)
Sahar Karimi, Pooya Ronagh
Practical integer-to-binary mapping for quantum annealers. Quantum Inf. Process. 18 (4) (2019)
Daniel Crawford, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, Pooya Ronagh
Reinforcement learning using quantum Boltzmann machines. Quantum Inf. Comput. 18 (1&2) (2018)
Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh
Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers. CoRR (2018)
Sahar Karimi, Pooya Ronagh
Practical Integer-to-Binary Mapping for Quantum Annealers. CoRR (2017)
Anna Levit, Daniel Crawford, Navid Ghadermarzy, Jaspreet S. Oberoi, Ehsan Zahedinejad, Pooya Ronagh
Free energy-based reinforcement learning using a quantum processor. CoRR (2017)
Sahar Karimi, Pooya Ronagh
A subgradient approach for constrained binary optimization via quantum adiabatic evolution. Quantum Inf. Process. 16 (8) (2017)
Sahar Karimi, Pooya Ronagh
A subgradient approach for constrained binary programming via quantum adiabatic evolution. CoRR (2016)
Pooya Ronagh, Brad Woods, Ehsan Iranmanesh
Solving constrained quadratic binary problems via quantum adiabatic evolution. Quantum Inf. Comput. 16 (11&12) (2016)
Daniel Crawford, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, Pooya Ronagh
Reinforcement Learning Using Quantum Boltzmann Machines. CoRR (2016)
Pooya Ronagh, Brad Woods, Ehsan Iranmanesh
Solving constrained quadratic binary problems via quantum adiabatic evolution. CoRR (2015)