Physicists and computer scientists are using stochastic thermodynamics to understand the energy costs of computation, with implications for designing more energy-efficient devices.
The article discusses a phenomenon known as the "Dynamic Quantum Cheshire Cat Effect", which is a type of quantum effect that allows physical properties to be separated from the objects to which they belong. The authors show that this effect can be generalized to dynamical settings, where the property that is separated from the particle can propagate in space and lead to a flux of conserved quantity.
In this essay, Lance Fortnow, a computer scientist, argues that by embracing the computations that surround us, we can begin to understand and tame our seemingly random world. He discusses how even seemingly random events, like a coin flip or the mailing of a letter, can be seen as computational processes. The essay also touches on the progress made in artificial intelligence and machine learning, and how they are helping us manage randomness and complexity in our world.
