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Floquet simulations of quantum systems to identify nonlinear resonances
Quantum optimal control based on dynamiqs, diffrax and JAX
sneg is a Mathematica package for performing algebraic calculation with non-commuting operators in many-particle physics
An extremely fast Python linter and code formatter, written in Rust.
The fundamental package for scientific computing with Python.
Julia Framework for Quantum Dynamics and Control
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
Robust Quantum Optimal Control with Trajectory Optimization
A PowerPoint add-in to insert LaTeX equations into PowerPoint presentations on Windows and Mac
Efficiently computes derivatives of NumPy code.
GRAPE with autograd on the TDSE and LME in Python