How does one time-evolve a quantum state with its kernel function?

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SUMMARY

The discussion focuses on modeling the time evolution of a squeezed quantum state using kernel functions, specifically referencing a paper that provides a kernel function for such states. The process involves diagonalizing the kernel function in an eigenbasis and representing the state through a matrix with truncated eigenbasis functions. Additionally, the squeezing parameter must be expressed in terms of a kernel function, which is crucial for simulating the system using unitary transformations. The user seeks assistance in constructing the kernel function matrix and setting up an initial system for simulating a Gaussian beam of squeezed light.

PREREQUISITES
  • Understanding of quantum states and their properties
  • Familiarity with kernel functions in quantum mechanics
  • Knowledge of eigenbasis and matrix representation techniques
  • Experience with unitary transformations in quantum simulations
NEXT STEPS
  • Study the kernel function for squeezed states as detailed in the referenced paper
  • Learn about diagonalization techniques for kernel functions in quantum mechanics
  • Explore methods for representing quantum states using matrix representations
  • Investigate simulation techniques for Gaussian beams of squeezed light
USEFUL FOR

Quantum physicists, researchers in quantum optics, and anyone interested in simulating squeezed states and their dynamics using kernel functions.

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TL;DR
I'd like to model the evolution of a squeezed state by representing it as a kernel function and applying a unitary transformation, but I'm having trouble doing this.
I'd like to model the evolution of a squeezed state and its properties (such as phase at different spatiotemporal coordinates). I know one can represent them using kernel functions (and I have found a paper that gives a kernel function for a squeezed state: https://arxiv.org/pdf/2105.05990.pdf). I've been told one can diagonalize the kernel function in terms of some eigenbasis and then represent the state in terms of a matrix representation with a truncated set of these eigenbasis functions, or alternatively just represent the kernel function in terms of a higher dimensional grid. Apparently you also need to represent the squeezing parameter in terms of a kernel function ($ξa^2→a\hat(k1)ξ(k1,k2)a\hat(k2)$) Once this is done, one can use unitary transformations on the matrix to actually simulate the system.
However, I'm having trouble doing this. Specifically, I'm stuck on trying to make a kernel function matrix from the paper and/or setting up an initial system (for example, let's say we have a Gaussian beam of squeezed light being emitted, and this simulation aims to time evolve this beam). Does anyone have any insights on how I can do this? Any help would be appreciated.
 

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