MicroAlgo (MLGO) said Thursday it has developed a hybrid algorithm that combines classical and quantum computing to solve Multi-Query Optimization, or MQO, problems more efficiently.
MQO problems in fields like database optimization, machine learning and network routing require handling multiple queries efficiently to reduce computational time and costs, the company said.
MicroAlgo said its hybrid algorithm improves results through efficient use of qubits, reduction of error rates, scalability, and compatibility with existing gate-based quantum computers.
Shares of MicroAlgo rose more than 12% in recent trading.
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