Quantum Computing, #AI and Solving the Impossible @ThingsExpo #DX #SmartCities

In the blog "From Autonomous to Smart: Importance of Artificial Intelligence," we discussed the two critical artificial intelligence (AI) challenges in creating "smart" edge devices: In the blog "Reinforcement Learning to the Rescue," we talked about how Moore's Law isn't going to bail us out of because the problem space is getting more complex, even for relatively easy environments like playing checkers and chess: By the way, the commonly accepted answer for the number of particles in the observable universe is 1080. "Abandon all hope, ye who enter here." Maybe our only hope to solve these uber-complex, life-impacting analytic problems like autonomous vehicles, smart cities and precision medicine lies in a new approach – quantum computing. Quantum computing differs from traditional binary computing in that takes advantage of the strange ability of subatomic particles to exist in more than one state at any time (it's like your children, where you can both love and hate them at the same time). In classical digital computing, a bit is a single piece of information that can exist in two states – 1 or 0. Quantum computing uses quantum bits, or'qubits' instead.