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What is Comparing Quantum Machine Learning Frameworks about?

This study evaluates three leading quantum machine learning frameworks: PennyLane, Qiskit, and TensorFlow Quantum, focusing on their performance in simulating quantum models. Results indicate that PennyLane achieved the highest accuracy (96.5%) in classifying datasets, while TensorFlow Quantum excelled in execution speed. The findings suggest that the choice of framework should align with specific quantum machine learning task requirements, highlighting the strengths and weaknesses of each framework.

Author

hasnaouiriadh047

Language

EN