There are already several services available for quantum Machine Learning. IBM offers its Q Experience: an online platform for accessing various quantum processor prototypes via the Cloud. The service includes a circuit composer, and supports Python and Qiskit.
For its part, Rigetti Computing offers the Forest tool suite entirely dedicated to quantum computing. It includes a programming language and development tools.
Finally, Canadian startup Xanadu provides cloud access to a photonic quantum processor. This can handle chips with 8, 12 or 24 qubits.
Quantum Machine Learning is still in its infancy. However, a number of applications are already proving highly successful, and this disruptive technology should open up new opportunities in the future
Originally posted here:
Quantum Machine Learning: Exploring the Intersection of New Frontiers - DataScientest
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