MLGO News & Events

MicroAlgo 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."

MicroAlgo announced efforts to improve the accuracy and reliability of quantum algorithms by exploring and optimizing quantum error correction algorithms. The company said, "Quantum error correction algorithms are designed to detect and correct errors in qubits. Due to the fragility of qubits during quantum computation, quantum states are easily affected by various noise and interference. Challenges such as ensuring efficient error correction in large-scale qubit systems and better adapting to the continuously changing error patterns in complex environments lead to errors occurring in qubits."