Quantum neural network

Neural circuits are in their approach to the biological nervous system modeled (see Neural excitation circuit).

Neural circuits are based on the technology of artificial neural networks. The operation of neural circuits is usually Parallel Distributed Processing or an alternative derived technology.

The most important representative of the neuronal circuits are the neuromorphic circuits which is the tracking of biological neurons to the target.

Background

Considerations to use neural circuits for neural prostheses (see Brain- Computer Interface ), there are long ( Rolf Eckmiller ). So far, attempts such realizations are not gone beyond the stage of animal experiments.

Neural circuits have proven successful in various fields as an adaptive filter and control circuits, as well as in digital image processing ( image recognition, industrial quality assurance). The performance of artificial neural circuits has so far fallen far short of the natural systems.

In the context of future nanotechnology and quantum information technology and quantum - neural networks ( QNN or QANN ) are discussed. A special variant is the fuzzy quantum neural network (or quantum fuzzy artificial neural network ), see fuzzy logic.