Let us begin with a challenge. How to integrate or combine Artificial Intelligence and Quantum systems? This chapter describes quantum pattern recognition on real quantum processing units, quantum simulations of convolutional neural networks, genetic algorithms for finding bipolar single flux-quantum pulse sequences for qubit control, multi-quit states modular superconducting quantum processors and quantum natural language processors. Also, it introduces neural error mitigation which uses neural networks to improve estimates of ground states and ground-state observables from near-term quantum simulations. Additionally, deep rural networks with quantum layers are discussed. This chapter demonstrates the applications of the simulation framework in aiding the development of quantum algorithms and quantum error correction.