TensorFlow Quantum is an Open Source Stack that Show Us the Future of Quantum and Machine

TensorFlow Quantum is an Open Source Stack that Show Us the Future of Quantum and Machine

TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures. An extremely helpful article. You will definitely regret skipping it.

TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures.

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The intersection of quantum computing and artificial intelligence(AI) promises to be one of the most fascinating movement in the entire history of technology. The emergence of quantum computing its likely to force us to reimagine almost all the existing computing paradigms and AI is not an exception. However, the computational power of quantum computers also has the potential to accelerate many areas of AI that remain unpractical today. The first step for AI and quantum computing to work together is to reimagine machine learning models to work on quantum architectures. Recently, Google open sourced TensorFlow Quantum, a framework for building quantum machine learning models.

The core idea of TensorFlow Quantum is to interleave quantum algorithms and machine learning programs all within the TensorFlow programming model. Google refers to this approach as quantum machine learning and is able to implement it by leveraging some of its recent quantum computing frameworks such as Google Cirq.

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