“Using an algorithm like the Quantum Approximate Optimization Algorithm, along with other quantum enhancements like gradient descent, could speed up the training of machine learning models by or ...

In terms of training, HOLO proposes an optimization algorithm based on quantum gradient computation. This method utilizes the parameterized representation of quantum states and combines it with ...

GASP iteratively improves the circuits by maintaining diversity and employing sequential optimization ... efficient quantum algorithms, leveraging approximate state preparation to achieve ...

COLLEGE PARK, Md.--(BUSINESS WIRE)--IonQ (NYSE: IONQ), a leader in the quantum computing and networking industry, announced a technological breakthrough that demonstrates a new approach to ...