Convergence: Artificial Intelligence and Quantum Computing

CHAPTER 1Quantum Inflection Points

Jim Gable, President, Anametric

Inflection is a wonderfully nuanced word, denoting a change of pitch or tone or even simply a modulation of the voice. In mathematics, the definition of an inflection is less ambiguous, describing a transition from a concave to a convex curve. In a roundabout way, we have carried this mathematical definition back to everyday meaning, where we see inflection points as transitions—heralding significant changes in our lives, our industries, even our history.

In considering the implications of quantum computing and AI, it’s reasonable to pause and ask if we are close to useful quantum computers at all. There are not many implications for AI if not. Are quantum computers no more realistic than floating cities? No, but how can we tell? Truth be told, even after tremendous investments of time and funding around the world, today’s quantum computers don’t currently offer many practical benefits. Yet, these same investments of money and careers by some of the world’s brightest people indicate their extraordinary faith that useful quantum computers will emerge, perhaps soon within the current decade.

While acknowledging the potential of quantum computers, we should also note their limitations. Quantum computers are not universally superior to classical computers. It makes absolutely no sense to try to run PowerPoint on a quantum computer. In fact, one of the more promising applications of quantum computing, HHL,^* a core ...