CMOS plus stochastic nanomagnets enabling heterogeneous computers for probabilistic inference and learning von Singh, Nihal Sanjay, Kobayashi, Keito, Cao, Qixuan, Selcuk, Kemal, Hu, Tianrui, Niazi, Shaila, Aadit, Navid Anjum, Kanai, Shun, Ohno, Hideo, Fukami, Shunsuke, Camsari, Kerem Y.

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Spintronics-compatible Approach to Solving Maximum-Satisfiability Problems with Probabilistic Computing, Invertible Logic, and Parallel Tempering von Grimaldi, Andrea, Sánchez-Tejerina, Luis, Anjum Aadit, Navid, Chiappini, Stefano, Carpentieri, Mario, Camsari, Kerem, Finocchio, Giovanni

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All-to-all reconfigurability with sparse and higher-order Ising machines von Nikhar, Srijan, Kannan, Sidharth, Navid Anjum Aadit, Chowdhury, Shuvro, Camsari, Kerem Y

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Efficient Probabilistic Computing with Stochastic Perovskite Nickelates von Park, Tae Joon, Selcuk, Kemal, Zhang, Hai-Tian, Manna, Sukriti, Batra, Rohit, Wang, Qi, Yu, Haoming, Aadit, Navid Anjum, Sankaranarayanan, Subramanian K. R. S., Zhou, Hua, Camsari, Kerem Y., Ramanathan, Shriram

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CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning von Nihal Sanjay Singh, Kobayashi, Keito, Cao, Qixuan, Selcuk, Kemal, Hu, Tianrui, Niazi, Shaila, Navid Anjum Aadit, Kanai, Shun, Ohno, Hideo, Fukami, Shunsuke, Camsari, Kerem Y

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Massively Parallel Probabilistic Computing with Sparse Ising Machines von Navid Anjum Aadit, Grimaldi, Andrea, Carpentieri, Mario, Theogarajan, Luke, Martinis, John M, Finocchio, Giovanni, Camsari, Kerem Y

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Training deep Boltzmann networks with sparse Ising machines von Niazi, Shaila, Chowdhury, Shuvro, Aadit, Navid Anjum, Mohseni, Masoud, Qin, Yao, Camsari, Kerem Y.

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A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms von Chowdhury, Shuvro, Grimaldi, Andrea, Navid Anjum Aadit, Niazi, Shaila, Mohseni, Masoud, Kanai, Shun, Ohno, Hideo, Fukami, Shunsuke, Theogarajan, Luke, Finocchio, Giovanni, Datta, Supriyo, Camsari, Kerem Y

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Spintronics-compatible approach to solving maximum satisfiability problems with probabilistic computing, invertible logic and parallel tempering von Grimaldi, Andrea, Luis Sánchez-Tejerina1, Navid Anjum Aadit, Chiappini, Stefano, Carpentieri, Mario, Camsari, Kerem, Finocchio, Giovanni

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Training Deep Boltzmann Networks with Sparse Ising Machines von Niazi, Shaila, Aadit, Navid Anjum, Mohseni, Masoud, Chowdhury, Shuvro, Qin, Yao, Camsari, Kerem Y

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How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities von Mohseni, Masoud, Scherer, Artur, Johnson, K. Grace, Wertheim, Oded, Otten, Matthew, Aadit, Navid Anjum, Bresniker, Kirk M, Camsari, Kerem Y, Chapman, Barbara, Chatterjee, Soumitra, Dagnew, Gebremedhin A, Esposito, Aniello, Fahim, Farah, Fiorentino, Marco, Khalid, Abdullah, Kong, Xiangzhou, Kulchytskyy, Bohdan, Li, Ruoyu, Lott, P. Aaron, Markov, Igor L, McDermott, Robert F, Pedretti, Giacomo, Gajjar, Archit, Silva, Allyson, Sorebo, John, Spentzouris, Panagiotis, Steiner, Ziv, Torosov, Boyan, Venturelli, Davide, Visser, Robert J, Webb, Zak, Zhan, Xin, Cohen, Yonatan, Ronagh, Pooya, Ho, Alan, Beausoleil, Raymond G, Martinis, John M

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How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities von Mohseni, Masoud, Scherer, Artur, Johnson, K Grace, Wertheim, Oded, Otten, Matthew, Navid Anjum Aadit, Bresniker, Kirk M, Camsari, Kerem Y, Chapman, Barbara, Chatterjee, Soumitra, Dagnew, Gebremedhin A, Esposito, Aniello, Fahim, Farah, Fiorentino, Marco, Abdullah, Khalid, Kong, Xiangzhou, Kulchytskyy, Bohdan, Li, Ruoyu, Lott, P Aaron, Markov, Igor L, McDermott, Robert F, Pedretti, Giacomo, Gajjar, Archit, Silva, Allyson, Sorebo, John, Spentzouris, Panagiotis, Steiner, Ziv, Torosov, Boyan, Venturelli, Davide, Visser, Robert J, Webb, Zak, Zhan, Xin, Cohen, Yonatan, Ronagh, Pooya, Ho, Alan, Beausoleil, Raymond G, Martinis, John M

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