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Kerem Camsari

Department of Electrical and Computer Engineering, University of California, Santa Barbara

Builder The claim is about what the hardware does, and the philosophy is left open

Kerem Camsari works on probabilistic computing at the University of California, Santa Barbara. With Supriyo Datta and co-authors he proposed the p-bit, a binary unit whose state fluctuates at random with a bias set by its inputs, first as a building block for invertible logic in Physical Review X in 2017 and then as a general framework in Applied Physics Reviews in 2019. A network of coupled p-bits samples the Boltzmann distribution of an Ising model, so it can do optimization and probabilistic inference with physical randomness in place of arithmetic.

His group has built these machines on field programmable gate arrays. A 2022 paper in Nature Electronics, first authored by Navid Anjum Aadit, showed that a sparse, graph-coloured p-bit network updates all its units in parallel, so its flip rate grows linearly with the number of p-bits. In June 2026 the group, with Siemens and Carnegie Mellon co-authors, networked 18 FPGAs into a single machine with one million p-bits and measured how often the boards must exchange boundary states to behave as one (arXiv:2606.25313). That work is set out in Kerem Camsari’s one million p-bit FPGA computer.

He is covered here under the Builder position for the hardware. The p-bit update rule he published is the rule that this project’s software p-bit emulator implements. No view on consciousness is attributed to him.

Known for. The p-bit, a binary unit that fluctuates at random under the control of its inputs, and probabilistic computers built from p-bits on FPGAs, including a networked machine with one million p-bits (arXiv 2606.25313, 2026)

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