Performance evaluation of coherent Ising machines against classical neural networks-Reference-Cited by-同舟云学术

Performance evaluation of coherent Ising machines against classical neural networks

Published:2017-08-14 Issue:4 Volume:2 Page:044002
ISSN:2058-9565
Container-title:Quantum Science and Technology
language:
Short-container-title:Quantum Sci. Technol.

Author:

Haribara Yoshitaka,Ishikawa Hitoshi,Utsunomiya Shoko,Aihara Kazuyuki,Yamamoto Yoshihisa

Funder

Cabinet Office, Government of Japan

Publisher

IOP Publishing

Subject

Electrical and Electronic Engineering,Physics and Astronomy (miscellaneous),Materials Science (miscellaneous),Atomic and Molecular Physics, and Optics

Link

http://stacks.iop.org/2058-9565/2/i=4/a=044002/pdf

Reference26 articles.

1. The chips are down for Moore’s law

2. SpiNNaker: Mapping neural networks onto a massively-parallel chip multiprocessor

3. Mapping of Ising models onto injection-locked laser systems

4. Reducibility among Combinatorial Problems

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