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A recently proposed novel nanomagnetic co-processor harnesses the quadratic Hamiltonian of a system of coupled nanomagnets in order to solve quadratic optimization problems. The key principle here is “Let physics do the computation” in the sense that the relaxation physics of a grid of nanomagnets directly solve the optimization problem [1]. More interestingly, our preliminary research suggests that...
Recent times have witnessed profound interest to find a suitable hardware platform for non-boolean computation. Our approach relies on the fact that the Hamiltonian of a system of coupled nanomagnets is quadratic. A wide class of quadratic energy minimization can be solved directly by the relaxation of a grid of nanomagnets [1]. Preliminary research showed that magnet-based solutions are independent...
There has been recent proposals for the use of nano-magnets to directly solve quadratic minimization problems, especially those arising in computer vision applications. This is unlike proposals for using nano-magnets to represent binary states. A collection of nano-magnets, when driven to their ground states, can be seen to optimize a quadratic energy function that is determined by their relative...
In this work, we provide a literature review of magnetic cellular automata (MCA) systems. Magnetic Cellular Automata offers promise of low power and room temperature operations. Experimental proof-of-concepts of various logical components are already demonstrated and tested. In architecture, various forms of field induced clocking have been proposed. We direct the authors to most of the achievements...
Magnetic cellular automata (MCA) is an unconventional approach to implement Boolean logic machines. Not only it has been able to prototypically demonstrate successful operation of logical gates at room temperature, but has also realized all the key components necessary to implement any Boolean function. This moves the viability of the technology ahead of other implementations of CA and solicits researchers...
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