From Wikipedia, the free encyclopedia

Scott Kirkpatrick is a computer scientist, and professor in the School of Engineering and Computer Science at the Hebrew University, Jerusalem. He has over 75,000 citations in the fields of: information appliances design, statistical physics, and distributed computing. [1]

He initially worked at IBM's Thomas J. Watson Research Center with Daniel Gelatt and Mario Cecchi researching computer design optimization. They argued for " simulated annealing" via the Metropolis–Hastings algorithm, whereas one can obtain iterative improvement to a fast cooling process by "defining appropriate temperatures and energies". [2] Their research was published in Science and was an inflection point in quantum computing. [3]

Selected research

  • Havlin, Shlomo, et al. "Challenges in network science: Applications to infrastructures, climate, social systems and economics." The European Physical Journal Special Topics 214.1 (2012): 273–293.
  • Schneider, Johannes, and Scott Kirkpatrick. Stochastic optimization. Springer Science & Business Media, 2007.
  • Carmi, Shai, et al. "A model of Internet topology using k-shell decomposition." Proceedings of the National Academy of Sciences 104.27 (2007): 11150–11154.
  • Kirkpatrick, Scott, C. Daniel Gelatt, and Mario P. Vecchi. "Optimization by simulated annealing." science 220.4598 (1983): 671–680.
  • Kirkpatrick, Scott. "Percolation and conduction." Reviews of modern physics 45.4 (1973): 574.

References

  1. ^ "Scott Kirkpatrick - Google Scholar". Google Scholar. Retrieved 11 November 2019.
  2. ^ Reed Business Information (9 June 1983). New Scientist. Reed Business Information. pp. 697–. ISSN  0262-4079. {{ cite book}}: |author= has generic name ( help)
  3. ^ Ray, Tiernan. "Is the world ready for cross-platform quantum programming?". ZDNet. Retrieved 8 March 2020.
From Wikipedia, the free encyclopedia

Scott Kirkpatrick is a computer scientist, and professor in the School of Engineering and Computer Science at the Hebrew University, Jerusalem. He has over 75,000 citations in the fields of: information appliances design, statistical physics, and distributed computing. [1]

He initially worked at IBM's Thomas J. Watson Research Center with Daniel Gelatt and Mario Cecchi researching computer design optimization. They argued for " simulated annealing" via the Metropolis–Hastings algorithm, whereas one can obtain iterative improvement to a fast cooling process by "defining appropriate temperatures and energies". [2] Their research was published in Science and was an inflection point in quantum computing. [3]

Selected research

  • Havlin, Shlomo, et al. "Challenges in network science: Applications to infrastructures, climate, social systems and economics." The European Physical Journal Special Topics 214.1 (2012): 273–293.
  • Schneider, Johannes, and Scott Kirkpatrick. Stochastic optimization. Springer Science & Business Media, 2007.
  • Carmi, Shai, et al. "A model of Internet topology using k-shell decomposition." Proceedings of the National Academy of Sciences 104.27 (2007): 11150–11154.
  • Kirkpatrick, Scott, C. Daniel Gelatt, and Mario P. Vecchi. "Optimization by simulated annealing." science 220.4598 (1983): 671–680.
  • Kirkpatrick, Scott. "Percolation and conduction." Reviews of modern physics 45.4 (1973): 574.

References

  1. ^ "Scott Kirkpatrick - Google Scholar". Google Scholar. Retrieved 11 November 2019.
  2. ^ Reed Business Information (9 June 1983). New Scientist. Reed Business Information. pp. 697–. ISSN  0262-4079. {{ cite book}}: |author= has generic name ( help)
  3. ^ Ray, Tiernan. "Is the world ready for cross-platform quantum programming?". ZDNet. Retrieved 8 March 2020.

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