Research note
Double-Bracket QITE / Quantum Simulation
Research notes on imaginary-time evolution, simulation workflows, and numerical behavior.
Research question
How can double-bracket and QITE-style methods be organized into clear, testable simulation workflows?
Motivation
Simulation methods become easier to evaluate when the algorithmic assumptions, numerical diagnostics, and test cases are separated cleanly.
Methods
Imaginary-time evolution Hamiltonian simulation Numerical experiments Convergence analysis
Approach
- Write small deterministic simulation cases first.
- Track convergence and stability behavior before scaling.
- Connect mathematical formulation to implementation-level tests.
Next steps
- Publish a concise derivation note.
- Add diagrams and minimal reproducible simulation examples.
Current results
Initial notes are being prepared for public presentation.
Tools
Python NumPy SciPy Quantum simulation
Status: Notes in progress