![inside a black hole inside a black hole](https://www.azoquantum.com/images/Article_Images/ImageForArticle_79(1).jpg)
These are based around using systems similar to those found in human brains. Another method would be to utilize a type of AI technique called a neural network. PBS Space Time video explaining how we might just live in a hologram.Īlgorithms utilizing a quantum computer aren’t the only way to find those “ground states,” as the lowest energy state of the system is called. Quantum matrix models would help effectively solve the optimization problems that would find the lowest energy state of the particle systems projected above a black hole. As with many physics simulations, the end goal of the simulation was to find the lowest energy state of the system. To do so, they utilized a concept called a quantum matrix model. Rinaldi and his team used an algorithm running on a quantum computer to simulate the particles that make up the project part of the holographic duality. Quantum computing itself can be helpful in modeling particle physics, as some of the physics underlying the computing platform itself are subject to those physical laws that are so foreign to us at a macro scale. So Enrico Rinaldi, a physicist at the University of Michigan and RIKEN, attempted to develop a new model that utilized those two very hyped computing architectures – quantum computing and machine learning. Holographic duality itself is challenging to model with modern-day computing algorithms, though. UT video discussing the Holographic Principle This concept is called holographic duality and might offer a way to look for that critical interface between relativity (i.e., black hole physics) and the Standard model (i.e., particle physics). There has been a long-standing theory that the motions and accelerations of the particles directly above a black hole might be a two-dimension projection of what the black hole itself is doing in three dimensions. However, innumerable particles are swirling around their event horizons that are effectively immune to gravity but do fall under the Standard Model structure, which deals directly with the physics of particles. Black holes themselves are massive gravity wells ruled entirely by the physics defined by General Relativity. There aren’t many places where the two great physics models collide, but around a black hole is one of them.
![inside a black hole inside a black hole](https://blogs-images.forbes.com/quora/files/2016/02/Screen-Shot-2016-02-29-at-2.14.43-PM1.jpg)
One such example of where they might work together is modeling the answer to one of the thorniest problems in physics: how does General Relativity relate to the Standard Model?Ī team led by researchers at the University of Michigan and RIKEN think they might have developed just such an algorithm. However, experts have pointed out that these techniques aren’t generalized tools – they will only be the great leap forward in computer power for very specialized algorithms, and even more rarely will they be able to work on the same problem. Both quantum computing and machine learning have been touted as the next big computer revolution for a fair while now.