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Monday, January 10, 2022

Solving Problems with 2D Materials

Note the mention of 'simulated annealing' methods.   

Solving the 'Big Problems' via Algorithms Enhanced by 2D Materials

Penn State News. Jamie Oberdick, January 5, 2022

Pennsylvania State University (Penn State) researchers have developed a method of solving combinatorial optimization problems using two-dimensional (2D) materials. The researchers utilized a simulated annealing algorithm to determine the ground state of an Ising spin glass system. Penn State's Amritanand Sebastian said the process involves conducting in-hardware computational operations, with the hardware deployed via 2D material-based transistors that also store data. "We make use of this in-memory computation capability in order to perform simulated annealing in an efficient manner," he explained. According to Sebastian, the method saves energy through ultra-low-power operation, allows efficient computation of the spin system's energy, and does not require the hardware to scale with the size of the problem.  ... '

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