Why Artificial Intelligence Needs Quantum Computing

The current attention trade shows, media outlets, and (more and more) vendors are devoting to quantum computing is far from transitory. This form of computing is almost certain to play an integral part in the most meaningful future developments of Artificial Intelligence--if not in those for today. The bifurcation of quantum computing's applicability to AI is clear. On the one hand, "Quantum computing is necessary to reach Artificial General Intelligence," denoted Kyndi CEO Ryan Welsh. On the other, quantum computing is able to solve a critical problem related to AI that is a vital steppingstone to actually achieving Artificial General Intelligence. According to Welsh, quantum computing methods have a definite capacity for "fusing the gap between continuous mathematics and discreet mathematics," which is at the crux of the dichotomy between statistical AI and symbolic AI for Natural Language Processing applications.