CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning

no code implementations • 12 Apr 2023 • Nihal Sanjay Singh, Keito Kobayashi, Qixuan Cao, Kemal Selcuk, Tianrui Hu, Shaila Niazi, Navid Anjum Aadit, Shun Kanai, Hideo Ohno, Shunsuke Fukami, Kerem Y. Camsari

Extending Moore's law by augmenting complementary-metal-oxide semiconductor (CMOS) transistors with emerging nanotechnologies (X) has become increasingly important.

A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms

no code implementations • 13 Feb 2023 • Shuvro Chowdhury, Andrea Grimaldi, Navid Anjum Aadit, Shaila Niazi, Masoud Mohseni, Shun Kanai, Hideo Ohno, Shunsuke Fukami, Luke Theogarajan, Giovanni Finocchio, Supriyo Datta, Kerem Y. Camsari

The transistor celebrated its 75${}^\text{th}$ birthday in 2022.

Combinatorial Optimization

Double Free-Layer Magnetic Tunnel Junctions for Probabilistic Bits

no code implementations • 13 Dec 2020 • Kerem Y. Camsari, Mustafa Mert Torunbalci, William A. Borders, Hideo Ohno, Shunsuke Fukami

One such approach is to use a low barrier nanomagnet as the free layer of a magnetic tunnel junction (MTJ) whose magnetic fluctuations are converted to resistance fluctuations in the presence of a stable fixed layer.

Mesoscale and Nanoscale Physics Emerging Technologies