A subgradient approach for constrained binary programming via quantum adiabatic evolution. - Sahar Karimi; Pooya Ronagh (CoRR, 2016)

Solving constrained quadratic binary problems via quantum adiabatic evolution. - Pooya Ronagh; Brad Woods; Ehsan Iranmanesh (Quantum Inf. Comput., 2016)

Free energy-based reinforcement learning using a quantum processor. - Anna Levit; Daniel Crawford; Navid Ghadermarzy; Jaspreet S. Oberoi; Ehsan Zahedinejad; Pooya Ronagh (CoRR, 2017)

A subgradient approach for constrained binary optimization via quantum adiabatic evolution. - Sahar Karimi; Pooya Ronagh (Quantum Inf. Process., 2017)

Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers. - Behrooz Sepehry; Ehsan Iranmanesh; Michael P. Friedlander; Pooya Ronagh (CoRR, 2018)

Reinforcement learning using quantum Boltzmann machines. - Daniel Crawford; Anna Levit; Navid Ghadermarzy; Jaspreet S. Oberoi; Pooya Ronagh (Quantum Inf. Comput., 2018)

Quantum Algorithms for Solving Dynamic Programming Problems. - Pooya Ronagh (CoRR, 2019)

Practical integer-to-binary mapping for quantum annealers. - Sahar Karimi; Pooya Ronagh (Quantum Inf. Process., 2019)

Controlled Online Optimization Learning (COOL): Finding the ground state of spin Hamiltonians with reinforcement learning. - Kyle Mills; Pooya Ronagh; Isaac Tamblyn (CoRR, 2020)

Finding the ground state of spin Hamiltonians with reinforcement learning. - Kyle Mills; Pooya Ronagh; Isaac Tamblyn (Nat. Mach. Intell., 2020)

Non-convex Quadratic Programming Using Coherent Optical Networks. - Farhad Khosravi; Ugur Yildiz; Artur Scherer; Pooya Ronagh (CoRR, 2022)

Gibbs Sampling of Periodic Potentials on a Quantum Computer. - Arsalan Motamedi; Pooya Ronagh (CoRR, 2022)

Neural Error Mitigation of Near-Term Quantum Simulations. - Elizabeth R. Bennewitz; Florian Hopfmueller; Bohdan Kulchytskyy; Juan Carrasquilla; Pooya Ronagh (Nat. Mach. Intell., 2022)

Quantum algorithms for structured prediction. - Behrooz Sepehry; Ehsan Iranmanesh; Michael P. Friedlander; Pooya Ronagh (Quantum Mach. Intell., 2022)

Mixed-Integer Programming Using a Bosonic Quantum Computer. - Farhad Khosravi; Artur Scherer; Pooya Ronagh (QCE, 2023)

On the Computational Cost of Stochastic Security. - Noah A. Crum; Leanto Sunny; Pooya Ronagh; Raymond Laflamme; Radhakrishnan Balu; George Siopsis (CoRR, 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)

Gibbs Sampling of Continuous Potentials on a Quantum Computer. - Arsalan Motamedi; Pooya Ronagh (ICML, 2024)

Towards a Cryogenic CMOS-Memristor Neural Decoder for Quantum Error Correction. - Pierre-Antoine Mouny; Maher Benhouria; Victor Yon; Patrick Dufour; Linxiang Huang; Yann Beilliard; Sophie Rochette; Dominique Drouin; Pooya Ronagh (QCE, 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 (TQC, 2024)

Optimizing Multi-level Magic State Factories for Fault-Tolerant Quantum Architectures. - Allyson Silva; Artur Scherer; Zak Webb; Abdullah Khalid; Bohdan Kulchytskyy; Mia Kramer; Kevin Nguyen; Xiangzhou Kong; Gebremedhin A. Dagnew; Yumeng Wang; Huy Anh Nguyen; Katiemarie Olfert; et al. (CoRR, 2024)

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits. - Masoud Mohseni; Artur Scherer; K. Grace Johnson; Oded Wertheim; Matthew Otten; Navid Anjum Aadit; Yuri Alexeev; Kirk M. Bresniker; Kerem Yunus Çamsari; Barbara Chapman; Soumitra Chatterjee; Gebremedhin A. Dagnew; et al. (CoRR, 2024)

Stochastic security as a performance metric for quantum-enhanced generative AI. - Noah A. Crum; Leanto Sunny; Pooya Ronagh; Raymond Laflamme; Radhakrishnan Balu; George Siopsis (Quantum Mach. Intell., 2025)