IonQ and ORNL Develop Efficient Hybrid Algorithm for Quantum Optimization
Mohamed Abdel-Kareem2025-07-04T10:48:19-07:00IonQ, in collaboration with Oak Ridge National Laboratory (ORNL), has introduced a hybrid quantum algorithm that significantly enhances the efficiency of quantum optimization tasks. Based on Quantum Imaginary Time Evolution (QITE), the algorithm reduces the number of two-qubit gates required by over 85% for a 28-qubit problem compared to the Quantum Approximate Optimization Algorithm (QAOA). This improvement was validated using IonQ’s Aria and Forte quantum systems. The new algorithm offers superior noise tolerance, making it particularly effective for solving complex combinatorial optimization problems. Its development aligns with the growing demand for practical quantum computing applications in areas such as energy grid [...]