MicroAlgo (MLGO) announced the development of a Grover-based quantum algorithm designed to find pure Nash equilibria in graphical games. The company said, “This technology represents not only an important advancement in quantum algorithm research but also provides a fresh perspective on game theory and its applications. The Grover search algorithm is an efficient quantum search algorithm that can find a target element in an unstructured database with a time complexity of the square root of the number of elements. By employing amplitude amplification techniques, it enables the identification of a target item in an unsorted database with square-root complexity, making it significantly more efficient to find solutions in a quantum computing environment. The key to applying the Grover algorithm to find Nash equilibria in games lies in constructing an appropriate oracle operator.”
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