Pooya Ronagh

According to our database, Pooya Ronagh authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-qubit Lattice Surgery Scheduling.

Allyson Silva, Xiangyi Zhang, Zak Webb, Mia Kramer, Chan Woo Yang, Xiao Liu, Jessica Lemieux, Ka-Wai Chen, Artur Scherer, Pooya Ronagh

Proceedings of the 19th Conference on the Theory of Quantum Computation, 2024

Gibbs Sampling of Continuous Potentials on a Quantum Computer.

Arsalan Motamedi, Pooya Ronagh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction.

Frédéric Marcotte, Pierre-Antoine Mouny, Victor Yon, Gebremedhin A. Dagnew, Bohdan Kulchytskyy, Sophie Rochette, Yann Beilliard, Dominique Drouin, Pooya Ronagh

CoRR, 2023

On the Computational Cost of Stochastic Security.

Noah A. Crum, Leanto Sunny, Pooya Ronagh, Raymond Laflamme, Radhakrishnan Balu, George Siopsis

CoRR, 2023

Mixed-Integer Programming Using a Bosonic Quantum Computer.

Farhad Khosravi, Artur Scherer, Pooya Ronagh

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Quantum algorithms for structured prediction.

Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh

Quantum Mach. Intell., 2022

Neural Error Mitigation of Near-Term Quantum Simulations.

Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh

Nat. Mach. Intell., 2022

Gibbs Sampling of Periodic Potentials on a Quantum Computer.

Arsalan Motamedi, Pooya Ronagh

CoRR, 2022

Non-convex Quadratic Programming Using Coherent Optical Networks.

Farhad Khosravi, Ugur Yildiz, Artur Scherer, Pooya Ronagh

CoRR, 2022

2020

Finding the ground state of spin Hamiltonians with reinforcement learning.

Kyle Mills, Pooya Ronagh, Isaac Tamblyn

Nat. Mach. Intell., 2020

Controlled Online Optimization Learning (COOL): Finding the ground state of spin Hamiltonians with reinforcement learning.

Kyle Mills, Pooya Ronagh, Isaac Tamblyn

CoRR, 2020

2019

Practical integer-to-binary mapping for quantum annealers.

Sahar Karimi, Pooya Ronagh

Quantum Inf. Process., 2019

Quantum Algorithms for Solving Dynamic Programming Problems.

Pooya Ronagh

CoRR, 2019

2018

Reinforcement learning using quantum Boltzmann machines.

Daniel Crawford, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, Pooya Ronagh

Quantum Inf. Comput., 2018

Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers.

Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh

CoRR, 2018

2017

A subgradient approach for constrained binary optimization via quantum adiabatic evolution.

Sahar Karimi, Pooya Ronagh

Quantum Inf. Process., 2017

Free energy-based reinforcement learning using a quantum processor.

Anna Levit, Daniel Crawford, Navid Ghadermarzy, Jaspreet S. Oberoi, Ehsan Zahedinejad, Pooya Ronagh

CoRR, 2017

2016

Solving constrained quadratic binary problems via quantum adiabatic evolution.

Pooya Ronagh, Brad Woods, Ehsan Iranmanesh

Quantum Inf. Comput., 2016

A subgradient approach for constrained binary programming via quantum adiabatic evolution.

Sahar Karimi, Pooya Ronagh

CoRR, 2016