ABSTRACT
This chapter introduces quantum Lernmatrix based on Lernmatrix where n units are stored in the quantum superposition. It demonstrates how to represent the quantum Lernmatrix by a quantum circuit and preform experiments using qiskit. The chapter introduces a tree-like structure that increases the measured value of correct answers. Lernmatrix is composed of a cluster of units. Each unit represents a simple model of a real biological neuron. Each unit is composed of binary weights, which correspond to the synapses and dendrites in a real neuron. Useful associative properties of Euler's formula result from equally distributed weights over the whole weight matrix and are only present in large matrices.
