INSUBCONTINENT EXCLUSIVE:
Google has managed to bring together its machine learning and quantum computing initiatives with the launch of TensorFlow Quantum.The
machine learning framework has the ability to construct quantum datasets, prototype hybrid quantum and classic machine learning models,
support quantum circuit simulators and train both discriminative and generative quantum models.According to a Google AI blog, TensorFlow
Quantum is able to create quantum models with standard Keras functions and by providing quantum circuit simulators and quantum computing
primitives compatible with existing TensorFlow APIs.The release of TensorFlow Quantum comes after Microsoft's launch of Azure Quantum and
the recent news that Honeywell is developing a quantum computer with a quantum volume of at least 64 which will be available in the next
three months.In an abstract for a paper, authored by members of Google's X unit, The Institute for Quantum Computing at the University of
Waterloo, NASA's Quantum AI Lab, Volkswagen and Google Research, submitted to the preprint repository arXiv, the authors explain what they
learning research communities to explore models of both natural and artificial quantum systems, and ultimately discover new quantum
combines the open source quantum circuit library Cirq with the TensorFlow machine learning platform.TensorFlow Quantum's ability to
simulate properties will hopefully lead to advances in the fields of life sciences, decryption, chemical or material development and
optimization.Via VentureBeat
