How Thin Film Lithium Niobate (TFLN) Will Power the Next generation of Coherent Ising Machines

Although a large portion of the articles in Quantum Computing Report by GQI cover gate-based quantum computers, we should remind our readers that these are not the only game in town. In particular, there are also many other types of physics-based processors that have a potential to outperform classical computers and gate-based computers for problems the use combinatorial optimization. They include quantum annealers, simulated bifurcation machinesLightsolver, and the Coherent Ising Machine. GQI believes that combinatorial optimization problems may comprise as much as one-third of the total market for quantum applications. So although these optimization focused machines may not be as general as the gate-based systems, there still is a significant market to make development of these special purpose processors potentially worthwhile. How Thin Film Lithium Niobate (TFLN) Will Power the Next generation of Coherent Ising Machines – Quantum Computing Report

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