The parallel approach (original) (raw)

Nature Physics volume 9, pages 200–202 (2013)Cite this article

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A class of two-terminal passive circuit elements that can also act as memories could be the building blocks of a form of massively parallel computation known as memcomputing.

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References

  1. Backus, J. Comm. Assoc. Comp. Machin. 21, 613–641 (1978).
    MathSciNet Google Scholar
  2. Owens, J. D. et al. Comp. Graph. Forum 26, 80–113 (2008).
    Article Google Scholar
  3. Feynman, R. P. Found. Phys. 16, 507–531 (1986).
    Article ADS MathSciNet Google Scholar
  4. Shor, P. W. SIAM J. Comp. 26, 1484–1509 (1997).
    Article Google Scholar
  5. Chuang, I., Laflamme, R., Shore, P. & Zurek, W. H. Science 270, 1633–1635 (1995).
    Article ADS MathSciNet Google Scholar
  6. Pellizzari, T., Gardiner, S. A., Cirac, J. I. & Zoller, P. Phys. Rev. Lett. 75, 3788–3791 (1995).
    Article ADS Google Scholar
  7. http://www.humanconnectomeproject.org/.
  8. Cowan, W. M., Sudhof, T. C. & Stevens, C. F. (eds) Synapses (Johns Hopkins Univ. Press, 2001).
    Google Scholar
  9. Di Ventra, M., Pershin, Y. V. & Chua, L. O. Proc. IEEE 97, 1717–1724 (2009).
    Article Google Scholar
  10. Pershin, Y. V. & Di Ventra, M. Adv. Phys. 60, 145–227 (2011).
    Article ADS Google Scholar
  11. Pershin, Y. V. & Di Ventra, M. Phys. Rev. E 84, 046703 (2011).
    Article ADS Google Scholar
  12. Monmarche, N., Guinand, F. & Siarry, P. (eds) Artificial Ants (Wiley-ISTE, 2010).
    MATH Google Scholar
  13. DiVincenzo, D. P. Fortschr. Phys. 48, 771–783 (2000).
    Article Google Scholar
  14. Strukov, D. & Likharev, K. Nanotechnology 16, 888–900 (2005).
    Article ADS Google Scholar
  15. Borghetti, J. et al. Nature 464, 873–876 (2010).
    Article ADS Google Scholar
  16. Pershin, Y. V. & Di Ventra, M. Proc. IEEE 100, 2071–2080 (2012).
    Article Google Scholar
  17. Waser R. & Aono, M. Nature Mater. 6, 833–840 (2007).
    Article ADS Google Scholar
  18. Sawa, A. Mater. Today 11, 28–36 (2008).
    Article Google Scholar
  19. Jo, S. H., Kim, K-H. & Lu, W. Nano Lett. 9, 870–874 (2009).
    Article ADS Google Scholar
  20. Lee, M-J. et al. Nature Mater. 10, 625–630 (2011).
    Article ADS Google Scholar
  21. Snider, G. S. SciDAC Rev. 10, 58–65 (2008).
    Google Scholar
  22. Linares-Barranco, B. & Serrano-Gotarredona, T. Nanotechnology 2009, IEEE Nano 601–604 (2009).
    Google Scholar
  23. Pershin, Y. V. & Di Ventra, M. Neural Netw. 23, 881–886 (2010).
    Article Google Scholar
  24. Jo, S. H. et al. Nano Lett. 10, 1297–1301 (2010).
    Article ADS Google Scholar
  25. Itoh, M. & Chua, L. O. Int. J. Bif. Chaos 19, 3605–3656 (2009).
    Article Google Scholar

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Authors and Affiliations

  1. Massimiliano Di Ventra is in the Department of Physics, University of California, San Diego, California 92093, USA,
    Massimiliano Di Ventra
  2. Yuriy V. Pershin is in the Department of Physics and Astronomy, and the University of South Carolina Nanocenter, University of South Carolina, Columbia, South Carolina 29208, USA,
    Yuriy V. Pershin

Authors

  1. Massimiliano Di Ventra
  2. Yuriy V. Pershin

Corresponding authors

Correspondence toMassimiliano Di Ventra or Yuriy V. Pershin.

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Di Ventra, M., Pershin, Y. The parallel approach.Nature Phys 9, 200–202 (2013). https://doi.org/10.1038/nphys2566

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