Quantum computers, systems that perform computations by exploiting quantum mechanics phenomena, could help to efficiently tackle several complex tasks, including so-called combinatorial optimization problems. These are problems that entail identifying the optimal combination of variables among several options and under a series of constraints.
Researchers at University of Minnesota recently developed a new electronic device based on standard complementary metal oxide semiconductor technology that could support this crucial mapping process. This device, introduced in a paper in, is a physics-based Ising solver comprised of coupled ring oscillators and an all-to-all node connected architecture.is extremely challenging; as the number of coupled nodes increases, the number of connections per node increases by ~N.
The Ising solver created by Kim and his colleagues has an all-to-all architecture containing 48 spins and a highly uniform coupling circuit. Horizontal oscillator in the device are closely coupled to vertical oscillators, creating pairs of horizontal-vertical oscillators that intersect with other pairs to form a crossbar array.
The researchers evaluated their Ising solver in a series of tests, where they used it to perform various statistical operations, gathering measurements for problems of varying sizes and with different graph densities. Their results were promising, as graphs representing the dimensions of these problems could be effectively mapped onto their chip.
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