There is no such separation in quantum computers. Although they may include some quantum memory, the data is usually kept directly in the coales, while the calculation itself is called Gates directly on the coales, called Gates. In fact, there have been demonstrations that, for under -supervised machine learning, where a system can learn to classify items after pre -class data training, a quantum system can be done. Perform a better performance to the classicEven when data is being processed, the classic hardware is placed.
This form of machine learning depends on what variable quantum circuits are called. It is a two -coat gate operation that takes an additional element, which can be placed on the classic aspect of the hardware and can be given to coarse through control signals that mobilize the gate operation. You can consider this equivalent to communication involved in the nerve network, in which two coat gate operations are equal to the weight given to the information between two artificial neurons and the weight given to the signal.
Exactly the same system with which a team is Honda Research Institute Worked in collaboration with a quantum software company called Blue Cobbut.
Pixels from Coabs
The new work was mostly focused on how to get data from the classic world into the Qual Quantum system of features. But researchers ended the results on two different quantum processors.
The problem he was examining is one of the image ratings. Raw materials were from Honda scenes from Datastas, in which photos were taken in northern California for about 80 80 hours of driving. The photos have been tagged with information about what is in this scene. And the question that researchers wanted to handle the machine learning was a simple: Is it snowing in the scene?