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Probabilistic computing with voltage-controlled dynamics in magnetic tunnel junctions.

Yixin Shao1, Christian Duffee1, Eleonora Raimondo2

  • 1Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL 60208, United States of America.

Nanotechnology
|September 5, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel probabilistic bit (p-bit) using voltage-controlled magnetic anisotropy in magnetic tunnel junctions. This innovation enables efficient, on-demand random number generation for advanced p-computing applications.

Keywords:
MRAMinteger factorizationmagnetic tunnel junctionsnanomagnetsprobabilistic computingtrue random number generatorsvoltage-controlled magnetic anisotropy

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Area of Science:

  • Spintronics
  • Computational Science

Background:

  • Probabilistic computing (p-computing) offers solutions for complex computational problems intractable for conventional computers.
  • Current p-bit designs using stochastic magnetic tunnel junctions (MTJs) face challenges with precise control and analog signals.

Purpose of the Study:

  • To demonstrate a new p-bit design utilizing the voltage-controlled magnetic anisotropy (VCMA) effect.
  • To enable fast, compact, and energy-efficient probabilistic bits for p-computing.

Main Methods:

  • Utilized perpendicular MTJs with large energy barriers, stable without voltage.
  • Employed VCMA effect to induce dynamics for on-demand random state generation.
  • Implemented p-bits using VC-MTJs without bias current for a compact design.

Main Results:

  • Achieved random number generation in under 10 ns/bit.
  • Demonstrated the feasibility of the p-bit design by solving up to 40-bit integer factorization problems.
  • Generated high-quality random numbers using experimental bit-streams.

Conclusions:

  • The proposed VCMA-based p-bit offers a viable alternative for spintronic p-computing.
  • This approach enables low-cost, true random number generation for ultralow-power, compact p-computers.
  • The technology has the potential to significantly impact the development of p-computers.