IonQ and ORNL Develop Efficient Hybrid Algorithm for Quantum Optimization

IonQ, 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). […]

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