feat: Implement QFT Simulation for Cosmic Duality Model #36
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This commit introduces a new simulation based on Quantum Field Theory (QFT)
to model the user's concept of "Cosmic Duality" as a two-way process of
creation and annihilation.
This work was the result of a research and synthesis phase where standard
physics models were investigated as analogies for Walter Russell's
cosmogony. The user selected the QFT model over a driven two-level
system.
The implementation includes:
1. A new function `construct_qft_hamiltonian` in
`src/advanced_quantum_simulation.py` that builds the Hamiltonian
`H = ε(a†a) + g(a† + a)` using creation and annihilation operators
in a truncated Fock space.
2. A new script `src/run_qft_simulation.py` that runs the simulation
from a vacuum state and plots the expectation value of the particle
number over time, providing a clear visualization of the creation
and annihilation dynamics.
3. A new test suite `tests/test_qft_simulation.py` that verifies the
Hermiticity of the Hamiltonian and confirms its eigenvalues match
the theoretical values in the non-interacting (g=0) case.
4. Updated documentation in `README.md` describing the new model, its
physical interpretation, and instructions on how to run the
simulation.
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👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll acknowledge your comments with a 👀 emoji and then get to work. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! I will automatically address your feedback. For any comments you don't want me to act on, just include (aside). For security, I will only act on instructions from the user who triggered this task for this pull request. |
Kuonirad
approved these changes
Sep 9, 2025
Kuonirad
approved these changes
Sep 9, 2025
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This commit adds a new quantum simulation based on a Quantum Field Theory (QFT) model to represent Walter Russell's concepts of 'Generation' and 'Radiation'.
The new implementation includes:
H = ε(a†a) + g(a + a†).This work is based on the user's selection of this model after a research and synthesis phase.