Quantum Computing Tensorflow Quantum QiZUhtZM6fA

Web Reference: TensorFlow Quantum focuses on quantum data and building hybrid quantum-classical models. It integrates quantum computing algorithms and logic designed in Cirq, and provides quantum computing primitives compatible with existing TensorFlow APIs, along with high-performance quantum circuit simulators. Thanks to its power and scalability, TensorFlow Quantum has already been instrumental in enabling ground-breaking research in QML. It empowers researchers to pursue questions whose answers can only be obtained through fast simulation of many millions of moderately-sized circuits. This framework offers high-level abstractions for the design and training of both discriminative and generative quantum models under TensorFlow and supports high-performance quantum circuit simulators.

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