Masoud Mohseni

30 papers Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Full Stack Framework for High Performance Quantum-Classical Computing. CoRR Xin Zhan, K. Grace Johnson, Aniello Esposito, Barbara M. Chapman, Marco Fiorentino, Kirk M. Bresniker, Raymond G. Beausoleil, Masoud Mohseni
2025	J	`jnl`	A Statistical Analysis for Per-Instance Evaluation of Stochastic Optimizers: How Many Repeats Are Enough? CoRR Moslem Noori, Elisabetta Valiante, Thomas Van Vaerenbergh, Masoud Mohseni, Ignacio Rozada
2025	J	`jnl`	Accelerating Hybrid XOR-CNF SAT Problems Natively with In-Memory Computing. CoRR Haesol Im, Fabian Böhm, Giacomo Pedretti, Noriyuki Kushida, Moslem Noori, Elisabetta Valiante, Xiangyi Zhang, Chan-Woo Yang, Tinish Bhattacharya, Xia Sheng, Jim Ignowski, Arne Heittmann, John Paul Strachan, Masoud Mohseni, Raymond G. Beausoleil, Thomas Van Vaerenbergh, Ignacio Rozada
2025	J	`jnl`	Hardware-Compatible Single-Shot Feasible-Space Heuristics for Solving the Quadratic Assignment Problem. CoRR Haesol Im, Chan-Woo Yang, Moslem Noori, Dmitrii Dobrynin, Elisabetta Valiante, Giacomo Pedretti, Arne Heittmann, Thomas Van Vaerenbergh, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Ignacio Rozada
2025	J	`jnl`	Nonlocal Monte Carlo via Reinforcement Learning. CoRR Dmitrii Dobrynin, Masoud Mohseni, John Paul Strachan
2025	J	`jnl`	Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers. CoRR Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi, Eleonora Raimondo, Atharva Raut, Paul Aaron Lott, Johan H. Mentink, Marek M. Rams, Federico Ricci-Tersenghi, Massimo Chiappini, Luke Theogarajan, Tathagata Srimani, Giovanni Finocchio, Masoud Mohseni, Kerem Yunus Çamsari
2025	J	`jnl`	Solving Boolean satisfiability problems with resistive content addressable memories. CoRR Giacomo Pedretti, Fabian Böhm, Tinish Bhattacharya, Arne Heittmann, Xiangyi Zhang, Mohammad Hizzani, George Higgins Hutchinson, Dongseok Kwon, John Moon, Elisabetta Valiante, Ignacio Rozada, Catherine E. Graves, Jim Ignowski, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Thomas Van Vaerenbergh
2024	J	`jnl`	Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization. CoRR Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan, Paul Aaron Lott, Masoud Mohseni, Can Unlu, Davide Venturelli, Alan Ho
2024	J	`jnl`	Distributed Binary Optimization with In-Memory Computing: An Application for the SAT Problem. CoRR Xiangyi Zhang, Ignacio Rozada, Fabian Böhm, Elisabetta Valiante, Moslem Noori, Thomas Van Vaerenbergh, Chan-Woo Yang, Giacomo Pedretti, Masoud Mohseni, Raymond G. Beausoleil
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	J	`jnl`	Next-generation Probabilistic Computing Hardware with 3D MOSAICs, Illusion Scale-up, and Co-design. CoRR Tathagata Srimani, Robert M. Radway, Masoud Mohseni, Kerem Yunus Çamsari, Subhasish Mitra
2023	J	`jnl`	A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms. CoRR Shuvro Chowdhury, Andrea Grimaldi, Navid Anjum Aadit, Shaila Niazi, Masoud Mohseni, Shun Kanai, Hideo Ohno, Shunsuke Fukami, Luke Theogarajan, Giovanni Finocchio, Supriyo Datta, Kerem Yunus Çamsari
2023	—	`conf`	Accelerating Adaptive Parallel Tempering with FPGA-based p-bits. VLSI Technology and Circuits Navid Anjum Aadit, Masoud Mohseni, Kerem Yunus Çamsari
2023	J	`jnl`	Training Deep Boltzmann Networks with Sparse Ising Machines. CoRR Shaila Niazi, Navid Anjum Aadit, Masoud Mohseni, Shuvro Chowdhury, Yao Qin, Kerem Yunus Çamsari
2022	J	`jnl`	The physics of energy-based models. Quantum Mach. Intell. Patrick Huembeli, Juan Miguel Arrazola, Nathan Killoran, Masoud Mohseni, Peter Wittek
2021	J	`jnl`	Layerwise learning for quantum neural networks. Quantum Mach. Intell. Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib
2021	J	`jnl`	Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization. CoRR Masoud Mohseni, Daniel Eppens, Johan Strümpfer, Raffaele Marino, Vasil S. Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven
2021	J	`jnl`	Quantum advantage in learning from experiments. CoRR Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean
2021	J	`jnl`	Universal discriminative quantum neural networks. Quantum Mach. Intell. Hongxiang Chen, Leonard Wossnig, Simone Severini, Hartmut Neven, Masoud Mohseni
2020	J	`jnl`	A Probability Density Theory for Spin-Glass Systems. CoRR Gavin S. Hartnett, Masoud Mohseni
2020	J	`jnl`	Layerwise learning for quantum neural networks. CoRR Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib
2020	J	`jnl`	Power of data in quantum machine learning. CoRR Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean
2020	J	`jnl`	Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows. CoRR Gavin S. Hartnett, Masoud Mohseni
2020	J	`jnl`	TensorFlow Quantum: A Software Framework for Quantum Machine Learning. CoRR Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Murphy Yuezhen Niu, Ramin Halavati, Evan Peters, Martin Leib, Andrea Skolik, Michael Streif, David Von Dollen, Jarrod R. McClean, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni
2019	J	`jnl`	Learning to learn with quantum neural networks via classical neural networks. CoRR Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, Masoud Mohseni
2019	J	`jnl`	Quantum-Assisted Genetic Algorithm. CoRR James King, Masoud Mohseni, William Bernoudy, Alexandre Fréchette, Hossein Sadeghi, Sergei V. Isakov, Hartmut Neven, Mohammad H. Amin
2019	J	`jnl`	Scaling advantage in quantum simulation of geometrically frustrated magnets. CoRR Andrew D. King, Jack Raymond, Trevor Lanting, Sergei V. Isakov, Masoud Mohseni, Gabriel Poulin-Lamarre, Sara Ejtemaee, William Bernoudy, Isil Ozfidan, Anatoly Yu. Smirnov, Mauricio Reis, Fabio Altomare, Michael Babcock, Catia Baron, Andrew J. Berkley, Kelly T. R. Boothby, Paul I. Bunyk, Holly Christiani, Colin Enderud, Bram Evert, Richard Harris, Emile Hoskinson, Shuiyuan Huang, Kais Jooya, Ali Khodabandelou, Nicolas Ladizinsky, Ryan Li, Paul Aaron Lott, Allison J. R. MacDonald, Danica Marsden, Gaelen Marsden, Teresa Medina, Reza Molavi, Richard Neufeld, Mana Norouzpour, Travis Oh, Igor Pavlov, Ilya Perminov, Thomas Prescott, Chris Rich, Yuki Sato, Benjamin Sheldan, George Sterling, Loren J. Swenson, Nicholas Tsai, Mark H. Volkmann, Jed D. Whittaker, Warren Wilkinson, Jason Yao, Hartmut Neven, Jeremy P. Hilton, Eric Ladizinsky, Mark W. Johnson, Mohammad H. Amin
2018	—	`conf`	Efficient Population Transfer via Non-Ergodic Extended States in Quantum Spin Glass. TQC Kostyantyn Kechedzhi, Vadim Smelyanskiy, Jarrod R. McClean, Vasil S. Denchev, Masoud Mohseni, Sergei Isakov, Sergio Boixo, Boris Altshuler, Hartmut Neven
2018	J	`jnl`	Universal discriminative quantum neural networks. CoRR Hongxiang Chen, Leonard Wossnig, Simone Severini, Hartmut Neven, Masoud Mohseni
2013	J	`jnl`	Quantum support vector machine for big feature and big data classification. CoRR Patrick Rebentrost, Masoud Mohseni, Seth Lloyd