Integer factorization using stochastic magnetic tunnel junctions

By W. A. Borders, A. Pervaiz, Shunsuke Fukami, Kerem Y Çamsarı, Hideo Ohno, Supriyo Datta. Nature, 2019

610 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/30448586265bd0078d7736678b72b1958b6adb56

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Naeimeh Mohseni
2. Tim Byrnes
3. Peter Leonard McMahon
4. Alexia Auffèves

In Electrical and Electronic Engineering

1. Naeimeh Mohseni
2. Tim Byrnes
3. Peter Leonard McMahon

Citations in the corpus

• Quantum Technologies Need a Quantum Energy Initiative (2021, background): “Reminiscent of neural networks, it relies on probabilistic bits or “p-bits” where the two logical states are separated by a low potential barrier [30].”
• Ising machines as hardware solvers of combinatorial optimization problems (2022, methodology): “…computation approach, numerous physical implementations of Ising and related models have been realized or proposed, including magnetic devices 29,44–51 , optics 34,52,53 , memristors 30,54 , spin-switches 55 , quantum dots 56 , single atoms 33 , microdroplets 57 , and Bose-Einstein…”