The Road to Warp Drive

This article is one of diary.

Note: This article is imaginary, full of speculation and guesswork.

Warp drive is currently impossible, both theoretically and experimentally.

However, there is one way to accelerate theory and implementation.

We start by applying NN-QFT to quantum field simulations.

Here are the reasons why NN-QFT can be a good simulation of quantum field theory:

1. When information is preserved when the number of layers increases, it itself has conformal characteristics.

2. It is okay if the Lagrangian is not analytic.

3. Since the optimization process is equivalent to the process of following dynamics, it is easy to analyze and operate.

The subject I want to develop and use is the simulation of gravitational lasers. Here's why it can be a good simulation of graviton interactions:

1. It can be freely composed of fields. (I have not yet conceived of a process of associatively connecting the gauge field to the material field.)

2. Can be simulated in arbitrary space.

3. The flow of the renormalization group can be easily given. (Can we recognize the Confinement? But if the charges remain, it is unstable, so it is just natural for them to merge.)

There is research to analyze gravity using effective field theory or to add it to the standard model, but it is not a new discovery about gravity because it is simply an addition to the Lagrangian that makes sense, but it will be possible to test it at various energy levels.

The reason of gravity lasers is for use in warp drive. To model warp drive, we need to go beyond the weak energy condition. Here, I need to explore the theory and structure itself, so I would like to actively use the ULA that is being developed. It's so far away that it's hard to understand. It's something that will start roughly in 10 years, so I need to work hard to prepare for it. Even if the previous research doesn't go well, it doesn't mean I can't do it. There must be a lattice gauge theory that fits it, but since it takes much longer, the use of artificial neural networks is essential for proper simulation.