For a complete list of our publications, please see Google Scholar. Most of our publications are on arXiv, email us for a paper that is not easily accessible. We have started to make much of our code accessible, visit our GitHub page to see our projects.
Preprints
How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities,
M. Mohseni, A. Scherer, K. G. Johnson, O. Wertheim, M. Otten, N. A. Aadit, K. M. Bresniker, K. Y. Camsari, B. Chapman, S. Chatterjee, G. A. Dagnew, A. Esposito, F. Fahim, M. Fiorentino, A. Khalid, X. Kong, B. Kulchytskyy, R. Li, P. A. Lott, I. L. Markov, R. F. McDermott, G. Pedretti, A. Gajjar, A. Silva, J. Sorebo, P. Spentzouris, Z. Steiner, B. Torosov, D. Venturelli, R. J. Visser, Z. Webb, X. Zhan, Y. Cohen, P. Ronagh, A. Ho, R. G. Beausoleil, J. M. Martinis, arXiv: 2411.10406
Noise-augmented Chaotic Ising Machines for Combinatorial Optimization and Sampling, K. Lee, S. Chowdhury, K. Y. Camsari, arXiv: 2408.04744
2024
[C23] N. S. Singh, C. Delacour, S. Niazi, K. Selcuk, D. Golenchenko, H. Kaneko, S. Kanai, H. Ohno, S. Fukami, K. Y. Camsari, Beyond Ising: Mixed Continuous Optimization with Gaussian Probabilistic Bits using Stochastic MTJs, 2024 IEEE International Electron Devices Meeting (IEDM, to appear) (2024)
[C22] T. H. Pantha, A. Khanna, H. Ye, S. Niazi, B. Chakraborty, E. G. Weinstock, N. Babu, S. Mukhopadhyay, S. Datta, K. Y. Camsari, S. Dutta, Towards 3D CMOS+X Ising Machines: Addressing the Connectivity Problem with Back-end-of-line FeFETs, 2024 IEEE International Electron Devices Meeting (IEDM, to appear) (2024)
[J61] Connecting physics to systems with modular spin-circuits, K. Selcuk, S. Bunaiyan, N. S. Singh, S. Sayed, S. Ganguly, G. Finocchio, S. Datta, K. Y. Camsari, NPJ Spintronics, 2, 53 (2024)
[J60] All-to-all reconfigurability with sparse and higher-order Ising machines, S. Nikhar, S. Kannan, N. A. Aadit, S. Chowdhury, K. Y. Camsari, Nature Communications, 15, 8977 (2024)
[J59] Roadmap on low-power electronics, R. Ramesh, S. Salahuddin, S. Datta, C. H. Diaz, D. E. Nikonov, I. A. Young, D. Ham, M.-F. Chang, W.-S. Khwa, A. S. Lele, C. Binek, Y.-L. Huang, Y.-C. Sun, Y.-H. Chu, B. Prasad, M. Hoffmann, J.-M. Hu, Z. Yao, L. Bellaiche, P. Wu, J. Cai, J. Appenzeller, S. Datta, K. Y. Camsari, J. Kwon, J. A. C. Incorvia, I. Asselberghs, F. Ciubotaru, S. Couet, C. Adelmann, Y. Zheng, A. M. Lindenberg, P. G. Evans, P. Ercius, I. P. Radu, APL Materials, (2024)
[C21] Probabilistic Computing with p-Bits: Optimization, Machine Learning and Quantum Simulation, K. Y. Camsari, 2024 IEEE International Magnetic Conference (Intermag), (2024)
[J58] Voltage-insensitive stochastic magnetic tunnel junctions with double free layers, R. Ota, K. Kobayashi, K. Hayakawa, S. Kanai, K. Y. Camsari, H. Ohno, S. Fukami, Applied Physics Letters, 125, 022406 (2024)
[J57] Heisenberg machines with programmable spin-circuits, S. Bunaiyan, S. Datta, K. Y. Camsari, Physical Review Applied, 22, 014014(2024)
[J56] Markov Chain Monte Carlo for Koopman-based Optimal Control, J. Hespanha, K. Y. Camsari, IEEE Control Systems Letters, (2024)
[J55] S. Niazi, N. A. Aadit, M. Mohseni, S. Chowdhury, Y. Qin, K. Y. Camsari, Training Deep Boltzmann Networks with Sparse Ising Machines, Nature Electronics, (2024)
[J54] Double-Free-Layer Stochastic Magnetic Tunnel Junctions with Synthetic Antiferromagnets, K. Selcuk, S. Kanai, R. Ota, H. Ohno, S. Fukami, K. Y. Camsari, Physical Review Applied, 21, 054002, (2024)
[J53] CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning, K. Kobayashi, N. Singh, Q. Cao, K. Selcuk, T. Hu, S. Niazi, N. A. Aadit, S. Kanai, H. Ohno, S. Fukami, K. Y. Camsari, Nature Communications, 15, 2685, (2024)
[J52] G. Finocchio, S. Bandyopadhyay, K. Y. Camsari et al., Roadmap for Unconventional Computing with Nanotechnology, Nano Futures (IOP Science), (2024)
[C20] Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers, 1st Workshop on ML with New Compute Paradigms (MLNCP) at NeurIPS, S. Chowdhury, S. Niazi, K. Y. Camsari, arXiv: 2401.01996
2023
[J51] W. Whitehead, Z. Nelson, K. Y. Camsari, L. Theogarajan, CMOS-compatible Ising and Potts Annealing Using Single Photon Avalanche Diodes, Nature Electronics (2023)
[J50] S. Chowdhury, K. Y. Camsari, S. Datta, Emulating Quantum Interference with Generalized Ising Machines, IEEE Access (2023)
[C19] N. S. Singh, S. Niazi, S. Chowdhury, K. Selcuk, H. Kaneko, K. Kobayashi, S. Kanai, H. Ohno, S. Fukami, K. Y. Camsari, Hardware Demonstration of Feedforward Stochastic Neural Networks with Fast MTJ-based p-bits, 2023 IEEE International Electron Devices Meeting (IEDM) (2023)
[C18] S. Chowdhury, K. Y. Camsari, Machine Learning Quantum Systems with Magnetic p-bits, 2023 IEEE International Magnetic Conference, INTERMAG, (2023)
[J49] A. Grimaldi, L. Mazza, E. Raimondo, P. Tullo, D. Rodrigues, K. Y. Camsari, V. Crupi, M. Carpentieri, V. Puliafito, G. Finocchio, Evaluating spintronics-compatible implementations of Ising machines, Physical Review Applied 20, 024005
[C17] S. Ganguly, K. Y. Camsari, A. W. Ghosh, N. K. Dhar, Circuits and systems modeling of quantum systems in SPICE, SPIE Proceedings, Quantum Information Science, Sensing, and Computation XV, (2023)
[J48] T. Shen, O. Hassan, N. Dilley, K. Y. Camsari, J. Appenzeller, A Magnetoelectric Memory Device Based on Pseudo-Magnetization, Journal of Applied Physics 134, 033901 (2023)
[C16] A. Grimaldi, E. Raimondo, A. Giordano, K. Y. Camsari, G. Finocchio, A comparison of energy minimization algorithms for solving Max-Sat problem with probabilistic Ising machines, 2023 IEEE 23rd International Conference on Nanotechnology (NANO), (2023)
[C15] N. A. Aadit, M. Mohseni, K. Y. Camsari, Accelerating Adaptive Parallel Tempering with FPGA-based p-bits, 2023 Symposium on VLSI Technology and Circuits, (2023)
[J47] S. Chowdhury, K. Y. Camsari, S. Datta, Accelerated Quantum Monte Carlo with Probabilistic Computers, Communications Physics, 6, 85, (2023)
[J46] S. Chowdhury, A. Grimaldi, N. A. Aadit, S. Niazi, M. Mohseni, S. Kanai, H. Ohno, S. Fukami, L. Theogarajan, G. Finocchio, S. Datta, K. Y. Camsari, A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, (2023)
2022
[J45] T. J. Park, K. Selcuk, H. T. Zhang, S. Manna, R. Batra, Q. Wang, H. Yu, N. A. Aadit, S. K. R. S. Sankaranarayanan, H. Zhou, K. Y. Camsari, S. Ramanathan, Efficient Probabilistic Computing with Stochastic Perovskite Nickelates, Nano Letters (2022)
[C14] A. Grimaldi, K. Selcuk, N. A. Aadit, K. Kobayashi, Q. Cao, S. Chowdhury, G. Finocchio, S. Kanai, H. Ohno, S. Fukami, K. Y. Camsari, Experimental evaluation of simulated quantum annealing with MTJ-augmented p-bits, 2022 IEEE International Electron Devices Meeting (IEDM) (2022)
[J44] N. A. Aadit, A. Grimaldi, M. Carpentieri, L. Theogarajan, J. M. Martinis, G. Finocchio, K. Y. Camsari, Massively Parallel Probabilistic Computing with Sparse Ising Machines, Nature Electronics (2022)
[C13] N. A. Aadit, A. Grimaldi, G. Finocchio, K. Y. Camsari, Physics-inspired Ising Computing with Ring Oscillator Activated p-bits, 22nd IEEE International Conference on Nanotechnology, 2022 IEEE 22rd International Conference on Nanotechnology (NANO) (2022)
[J43] A. Mathew, K. Y. Camsari, B. Muralidharan, Proposal for a solid-state magnetoresistive Larmor quantum clock, Physical Review B, 105, 144418 (2022)
[J42] A. Grimaldi, L. Sanchez-Tejerina, N. A. Aadit, S. Chiappini, M. Carpentieri, K. Y. Camsari, G. Finocchio, Spintronics-compatible approach to solving maximum satisfiability problems with probabilistic computing, invertible logic and parallel tempering, Physical Review Applied, 17, 024052 (2022)
[J41] J. Kaiser, W. A. Borders, K. Y. Camsari, S. Fukami, H. Ohno, S. Datta, Hardware-aware in-situ Boltzmann machine learning using stochastic magnetic tunnel junctions, Physical Review Applied (Editor's Suggestion), 17, 014016 (2022)
[J40] H. Li, D. E. Nikonov, C.-C. Lin, K. Y. Camsari, Y.-C. Liao, C.-S. Hsu, A. Naeemi, I. A. Young, Physics-Based Models for Magneto-Electric Spin-Orbit Logic Circuits, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, (2022)
2021
[C12] N. A. Aadit, A. Grimaldi, M. Carpentieri, L. Theogarajan, G. Finocchio, K. Y. Camsari, Computing with Invertible Logic: Combinatorial Optimization with Probabilistic Bits, 2021 IEEE International Electron Devices Meeting (IEDM) (2021)
[J39] O. Hassan, S. Datta, K. Y. Camsari, Quantitative Evaluation of Hardware Binary Stochastic Neurons, arXiv: 2101.00147, Physical Review Applied, 15, 064046 (2021)
[J38] K. Y. Camsari, S. Datta, Dialogue Concerning the Two Chief Computing Systems: Imagine yourself on a flight talking to an engineer about a scheme that straddles classical and quantum, IEEE Spectrum, Vol. 58, 4 (2021).
[J37] S. Ganguly K. Y. Camsari, A. W. Ghosh, Analog Signal Processing Using Stochastic Magnets, IEEE Access, (2021)
[J36] K. Y. Camsari, M. M. Torunbalci, W. A. Borders, H. Ohno, S. Fukami, Double Free-Layer Magnetic Tunnel Junctions for Probabilistic Bits, Physical Review Applied, 15, 044049 (Editor's Suggestion)(APS Physics coverage), (2021).
[J35] R. Faria, J. Kaiser, K. Y. Camsari, S. Datta, Hardware Design for Autonomous Bayesian Networks, Frontiers in Computational Neuroscience, (2021)
[J34] K. Y. Camsari, S. Chowdhury, S. Datta, The Non-Equilibrium Green Function (NEGF) Method, arXiv: 2008.01275, Springer Handbook of Semiconductor Devices, (2021)
[J33] G. Finocchio, M. Di Ventra, K. Y. Camsari, K. Everschor-Sitte , P. Khalili Amiri, Z. Zeng, The promise of spintronics for unconventional computing, Journal of Magnetism and Magnetic Materials, Volume 521, Part 1, 167506 (2021)
2020
[J32] B. Sutton, R. Faria, L. A. Ghantasala, R. Jaiswal, K. Y. Camsari, S. Datta, Autonomous Probabilistic Coprocessing with Petaflips per Second, IEEE Access, (2020)
[J31] T. Shen, V. Ostwal, K. Y. Camsari, J. Appenzeller, Demonstration of a strain-mediated magnetoelectric write and read unit in a
Co60Fe20B20/Pb(Mg1/3Nb2/3)0.7Ti0.3O3 heterostructure, Scientific Reports, 10, 10791 (2020)
[C11] S. Fukami, W. A. Borders, A. Z. Pervaiz, K. Y. Camsari, S. Datta, H. Ohno, Probabilistic computing based on spintronics technology, 2020 IEEE Silicon Nanoelectronics Workshop (SNW) (2020)
[J30] P. Debashis, R. Faria, K. Y. Camsari, S. Datta, Z. Chen, Correlated fluctuations in spin orbit torque-coupled perpendicular nanomagnets, Physical Review B Vol. 101, 094405 (2020)
[J29] J. Grollier, D. Querlioz, K. Y. Camsari, K. Everschor-Sitte, S. Fukami, M. Stiles, Neuromorphic Spintronics, Nature Electronics, 3, 360-370 (2020)
[J28] K. Y. Camsari, P. Debashis, V. Ostwal, A. Z. Pervaiz, T. Shen, Z. Chen, S. Datta, J. Appenzeller, From charge to spin and spin to charge: Stochastic magnets for probabilistic switching, Proceedings of the IEEE, Vol. 108, 8, 1332-1337 (2020)
[J27] J. Kaiser, R. Faria, K. Y. Camsari, S. Datta, Probabilistic Circuits for Autonomous Learning: A simulation study, Frontiers in Computational Neuroscience, 14 (2020)
2019
[J26] W. A. Borders, A. Z. Pervaiz, S. Fukami, K. Y. Camsari, H. Ohno, S. Datta, Integer Factorization Using Stochastic Magnetic Tunnel Junctions, Nature, 573, 390-393 (2019)
[C10] S. Chowdhury, S. Datta, K. Y. Camsari, A Probabilistic Approach to Quantum Inspired Algorithms, 2019 IEEE International Electron Devices Meeting (IEDM) (2019)
[J25] J. Kaiser, A. Rustagi, K. Y. Camsari, J. Z. Sun, S. Datta, P. Upadhyaya, Subnanosecond Fluctuations in Low-Barrier Nanomagnets, Physical Review Applied, Vol. 12, 054056 (2019)
[C9] A. Z. Pervaiz, S. Datta, K. Y. Camsari, Probabilistic Computing with Binary Stochastic Neurons, 2019 IEEE BiCMOS and Compound semiconductor Integrated Circuits and Technology Symposium (BCICTS), (2019)
[J24] K. Y. Camsari, S. Chowdhury, S. Datta, Scalable Emulation of Sign-Problem–Free Hamiltonians with Room Temperature p-bits, Physical Review Applied 12, 034061 (2019)
[C8] S. Ganguly, K. Y. Camsari, Y. Gu, M. R. Stan, A. W. Ghosh, A complete set of spintronic hardware building blocks for low power, small footprint, high performance neuromorphic architectures, Proc. SPIE 11090, Spintronics XII, 110903J (2019)
[J23] S. Sayed, K. Y. Camsari, R. Faria, S. Datta, Rectification in Spin-Orbit Materials Using Low-Energy-Barrier Magnets, Physical Review Applied, Vol. 11, 054063 (2019)
[J22] O. Hassan, R. Faria, K. Y. Camsari, J. Z. Sun, S. Datta, Low Barrier Magnet Design for Efficient Binary Stochastic Neurons, IEEE Magnetics Letters, Vol. 10 (2019)
[J21] T. Y. T. Hung, K. Y. Camsari, S. Zhang, P. Upadhyaya, Z. Chen, Direct Observation of Valley Coupled Topological Current in MoS2, Science Advances, Vol. 5, 4 (2019)
[J20] R. Zand, K. Y. Camsari, S. Datta, R. F. DeMara, Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons, ACM Journal on Emerging Technologies in Computing Systems (JETC), Vol. 15, 2, 17 (2019)
[J19] K. Y. Camsari, B. M. Sutton, S. Datta, p-Bits for Probabilistic Spin Logic, Applied Physics Reviews, 6, 011305 (2019)
[J18] O. Hassan, K. Y. Camsari, S. Datta, Voltage-driven Building Block for Hardware Belief Networks, IEEE Design & Test, Vol. 36, 3 (2019)
[J17] K. Y. Camsari, S. Ganguly, D. Datta, S. Datta, Non-Equilibrium Green’s Function based Circuit Models for Coherent Spin Devices, IEEE Transactions on Nanotechnology Vol. 18, 858-865 (2019)
2018
[J16] A. Z. Pervaiz, B. M. Sutton, L. A. Ghantasala, K. Y. Camsari, Weighted p-bits for FPGA implementation of probabilistic circuits, IEEE Transactions on Neural Networks and Learning Systems, Vol. 30, 6, 1920-1926 (2018)
[J15] M. M. Torunbalci, P. Upadhyaya, S. A. Bhave, K. Y. Camsari, Modular Compact Modeling of MTJ Devices, IEEE Transactions on Electron Devices, Vol. 65, 10, 4628-4634 (2018)
[J14] P. Debashis, R. Faria, K. Y. Camsari, Z. Chen, Designing Stochastic Nanomagnets for Probabilistic Spin Logic, IEEE Magnetics Letters, Vol. 9 (2018)
[C7] R. Zand, K. Y. Camsari, I. Ahmed, S. D. Pyle, C. H. Kim, R. F. DeMara, Low-Energy Deep Belief Networks using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons, Proceedings of the 2018 on Great Lakes Symposium on VLSI (GLSVLSI) Pages 15-20, ACM (2018)
[J13] K. Y. Camsari, R. Faria, O. Hassan, B. M. Sutton, S. Datta, Equivalent circuit for Magnetoelectric Read and Write Operations, Physical Review Applied 9, 044020 (2018)
[J12] R. Faria, K. Y. Camsari, S. Datta, Implementing Bayesian Networks with Embedded Stochastic MRAM, AIP Advances, 8, 045101 (2018)
[J11] S. D. Pyle, K. Y. Camsari, R. F. DeMara, Hybrid spin-CMOS stochastic spiking neuron for high-speed emulation of in-vivo neuron dynamics, IET Computers & Digital Techniques Vol. 12, 4, 122-129 (2018)
[J10] M. M. Torunbalci, T. A. Gosavi, K. Y. Camsari, S. A. Bhave, Magneto Acoustic Spin Hall Oscillators, Scientific Reports 8, 1119 (2018)
2017
[J9] K. Y. Camsari, S. Salahuddin, S. Datta, Implementing p-bits with Embedded MTJ, IEEE Electron Device Letters, Vol. 38, 12, 1767-1770 (2017)
[J8] A. Z. Pervaiz, L. A. Ghantasala, K. Y. Camsari, S. Datta, Hardware emulation of stochastic p-bits for invertible logic, Scientific Reports 7, 10994 (2017)
[C6] K. Y. Camsari, R. Faria, O. Hassan, A. Z. Pervaiz, B. M. Sutton, S. Datta, p-transistors and p-circuits for Boolean and non-Boolean logic, Proc. SPIE 10357, Spintronics X, 103572K (2017)
[J7] K. Y. Camsari, R. Faria, B. Sutton, S. Datta, Stochastic p-bits for invertible logic, Physical Review X, 7, 031014 (2017)
[C5] K. Y. Camsari, p-Transistors, p-bits and p-circuits for an invertible logic, 2017 75th Annual Device Research Conference (DRC) (2017)
[J6] R. Faria, K. Y. Camsari, S. Datta, Low barrier nanomagnets as p-bits for spin logic, IEEE Magnetics Letters Vol. 8, 1-5 (2017)
[J5] B. Sutton, K. Y. Camsari, B. Behin-Aein, S. Datta, Intrinsic optimization using stochastic nanomagnets, Scientific Reports 7, 44370 (2017)
2016
[C4] P. Debashis, R. Faria, K. Y. Camsari, J. Appenzeller, S. Datta, Z. Chen, Experimental demonstration of nanomagnet networks as hardware for ising computing, 2016 IEEE International Electron Devices Meeting (IEDM) (2016)
[J4] S. Ganguly, K. Y. Camsari, S. Datta, Evaluating spintronic devices using the modular approach, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits Vol. 2, 51-60 (2016)
[J3] S. Sayed, V. Q Diep, K. Y. Camsari, S. Datta, Spin funneling for enhanced spin injection into ferromagnets, Scientific Reports 6, 28868 (2016)
[J2] K. Y. Camsari, A. Z. Pervaiz, R. Faria, E.E. Marinero, S. Datta, Ultrafast spin-transfer-torque switching of synthetic ferrimagnets, IEEE Magnetics Letters Vol. 7, 1-5 (2016)
[C3] K. Y. Camsari, S. Ganguly, Deepanjan Datta, A modular spin-circuit model for magnetic tunnel junction devices, 2016 74th Annual Device Research Conference (DRC) (2016)
[C2] S. Ganguly, M.M Torunbalci, S. A. Bhave, K. Y. Camsari, Mesh nano-oscillator: All electrical doubly tunable spintronic oscillator, 2016 74th Device Research Conference (DRC) (2016)
2015 and Earlier
[J1] K. Y. Camsari, S. Ganguly, S. Datta, Modular approach to spintronics, Scientific Reports 5, 10571 (2015)
[C1] K. Y. Camsari, S. Ganguly, D. Datta, S. Datta, Physics-based factorization of magnetic tunnel junctions for modeling and circuit simulation, 2014 IEEE International Electron Devices Meeting (IEDM) (2014)
