Quantum AI will work with quantum data. A quantum neural network for arbitrary computing was developed by physicists from the Leibniz University of Hanover under the direction of Professor Ramona Wulf; their study was published in the journal Nature Communications.
Today, the power of computing systems is limited by Moore’s law, so scientists are looking for a new approach to the development of such technologies. One of the ways of developing computer technology can be quantum systems, especially if they can be used together with machine learning technologies.
Physicists from the Leibniz University of Hanover have developed a quantum analogue of the classical system of neurons that form neural networks with direct connection. Their power is enough to produce universal quantum computing.
A neural network consists of quantum perceptrons – analogues of elementary blocks that make up a normal neural network. This neural network can reduce the number of qubits that are needed to store intermediate states and results. At the same time, it is still unknown whether this technology will be able to see the light at all in the near future due to the fact that the system is not yet fully developed.