Pooya Ronagh - RankMe

30 papers A* 1Misc 2Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Stochastic security as a performance metric for quantum-enhanced generative AI. Quantum Mach. Intell. Noah A. Crum, Leanto Sunny, Pooya Ronagh, Raymond Laflamme, Radhakrishnan Balu, George Siopsis
2025	J	`jnl`	Towards a Cryogenic CMOS-Memristor Neural Decoder for Quantum Error Correction. CoRR Pierre-Antoine Mouny, Maher Benhouria, Victor Yon, Patrick Dufour, Linxiang Huang, Yann Beilliard, Sophie Rochette, Dominique Drouin, Pooya Ronagh
2024	A*	`conf`	Gibbs Sampling of Continuous Potentials on a Quantum Computer. ICML Arsalan Motamedi, Pooya Ronagh
2024	J	`jnl`	How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits. CoRR Masoud Mohseni, Artur Scherer, K. Grace Johnson, Oded Wertheim, Matthew Otten, Navid Anjum Aadit, Yuri Alexeev, Kirk M. Bresniker, Kerem Yunus Çamsari, Barbara M. Chapman, Soumitra Chatterjee, Gebremedhin A. Dagnew, Aniello Esposito, Farah Fahim, Marco Fiorentino, Archit Gajjar, Abdullah Khalid, Xiangzhou Kong, Bohdan Kulchytskyy, Elica Kyoseva, Ruoyu Li, Paul Aaron Lott, Igor L. Markov, Robert F. McDermott, Giacomo Pedretti, Pooja Rao, Eleanor Gilbert Rieffel, Allyson Silva, John Sorebo, Panagiotis Spentzouris, Ziv Steiner, Boyan Torosov, Davide Venturelli, Robert J. Visser, Zak Webb, Xin Zhan, Yonatan Cohen, Pooya Ronagh, Alan Ho, Raymond G. Beausoleil, John M. Martinis
2024	—	`conf`	Multi-qubit Lattice Surgery Scheduling. TQC Allyson Silva, Xiangyi Zhang, Zak Webb, Mia Kramer, Chan Woo Yang, Xiao Liu, Jessica Lemieux, Ka-Wai Chen, Artur Scherer, Pooya Ronagh
2024	J	`jnl`	Multi-qubit Lattice Surgery Scheduling. CoRR Allyson Silva, Xiangyi Zhang, Zak Webb, Mia Kramer, Chan Woo Yang, Xiao Liu, Jessica Lemieux, Ka-Wai Chen, Artur Scherer, Pooya Ronagh
2024	J	`jnl`	Optimizing Multi-level Magic State Factories for Fault-Tolerant Quantum Architectures. CoRR 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, Pooya Ronagh
2024	Misc	`conf`	Towards a Cryogenic CMOS-Memristor Neural Decoder for Quantum Error Correction. QCE Pierre-Antoine Mouny, Maher Benhouria, Victor Yon, Patrick Dufour, Linxiang Huang, Yann Beilliard, Sophie Rochette, Dominique Drouin, Pooya Ronagh
2023	J	`jnl`	A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction. CoRR Frédéric Marcotte, Pierre-Antoine Mouny, Victor Yon, Gebremedhin A. Dagnew, Bohdan Kulchytskyy, Sophie Rochette, Yann Beilliard, Dominique Drouin, Pooya Ronagh
2023	Misc	`conf`	Mixed-Integer Programming Using a Bosonic Quantum Computer. QCE Farhad Khosravi, Artur Scherer, Pooya Ronagh
2023	J	`jnl`	On the Computational Cost of Stochastic Security. CoRR Noah A. Crum, Leanto Sunny, Pooya Ronagh, Raymond Laflamme, Radhakrishnan Balu, George Siopsis
2022	J	`jnl`	Gibbs Sampling of Periodic Potentials on a Quantum Computer. CoRR Arsalan Motamedi, Pooya Ronagh
2022	J	`jnl`	Neural Error Mitigation of Near-Term Quantum Simulations. Nat. Mach. Intell. Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
2022	J	`jnl`	Non-convex Quadratic Programming Using Coherent Optical Networks. CoRR Farhad Khosravi, Ugur Yildiz, Artur Scherer, Pooya Ronagh
2022	J	`jnl`	Quantum algorithms for structured prediction. Quantum Mach. Intell. Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh
2021	J	`jnl`	Mixed-Integer Programming Using a Bosonic Quantum Computer. CoRR Farhad Khosravi, Artur Scherer, Pooya Ronagh
2021	J	`jnl`	Neural Error Mitigation of Near-Term Quantum Simulations. CoRR Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
2020	J	`jnl`	Controlled Online Optimization Learning (COOL): Finding the ground state of spin Hamiltonians with reinforcement learning. CoRR Kyle Mills, Pooya Ronagh, Isaac Tamblyn
2020	J	`jnl`	Finding the ground state of spin Hamiltonians with reinforcement learning. Nat. Mach. Intell. Kyle Mills, Pooya Ronagh, Isaac Tamblyn
2019	J	`jnl`	Practical integer-to-binary mapping for quantum annealers. Quantum Inf. Process. Sahar Karimi, Pooya Ronagh
2019	J	`jnl`	Quantum Algorithms for Solving Dynamic Programming Problems. CoRR Pooya Ronagh
2018	J	`jnl`	Reinforcement learning using quantum Boltzmann machines. Quantum Inf. Comput. Daniel Crawford, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, Pooya Ronagh
2018	J	`jnl`	Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers. CoRR Behrooz Sepehry, Ehsan Iranmanesh, Michael P. Friedlander, Pooya Ronagh
2017	J	`jnl`	A subgradient approach for constrained binary optimization via quantum adiabatic evolution. Quantum Inf. Process. Sahar Karimi, Pooya Ronagh
2017	J	`jnl`	Free energy-based reinforcement learning using a quantum processor. CoRR Anna Levit, Daniel Crawford, Navid Ghadermarzy, Jaspreet S. Oberoi, Ehsan Zahedinejad, Pooya Ronagh
2017	J	`jnl`	Practical Integer-to-Binary Mapping for Quantum Annealers. CoRR Sahar Karimi, Pooya Ronagh
2016	J	`jnl`	A subgradient approach for constrained binary programming via quantum adiabatic evolution. CoRR Sahar Karimi, Pooya Ronagh
2016	J	`jnl`	Reinforcement Learning Using Quantum Boltzmann Machines. CoRR Daniel Crawford, Anna Levit, Navid Ghadermarzy, Jaspreet S. Oberoi, Pooya Ronagh
2016	J	`jnl`	Solving constrained quadratic binary problems via quantum adiabatic evolution. Quantum Inf. Comput. Pooya Ronagh, Brad Woods, Ehsan Iranmanesh
2015	J	`jnl`	Solving constrained quadratic binary problems via quantum adiabatic evolution. CoRR Pooya Ronagh, Brad Woods, Ehsan Iranmanesh