qphase-sde 1.0.0

Physics engine for QPhase: Stochastic Differential Equations in Phase Space

qphase-sde

SDE Solver for QPhase

qphase-sde is a numerical library for solving Stochastic Differential Equations (SDEs), primarily focused on quantum optics applications. It implements common integration schemes and supports multiple computation backends.

Features

• Integrators:
  • Euler-Maruyama: Basic first-order strong approximation.
  • Milstein: Higher-order scheme for multiplicative noise.
  • SRK: Stochastic Runge-Kutta methods.
• Backends:
  • NumPy: Standard implementation.
  • Numba: JIT-compiled for better CPU performance.
  • PyTorch/CuPy: Support for GPU acceleration.
• Model Definition:
  • Define custom Hamiltonians and Dissipators via SDEModel.
  • Supports additive and multiplicative noise.

Installation

pip install qphase-sde

Usage

As a QPhase Plugin

When installed with qphase, you can define sde jobs in your configuration file:

jobs:
  - name: "my_simulation"
    type: "sde"
    config:
      t1: 100.0
      dt: 1e-3
      trajectories: 1000
      model: "models/my_model.py"

Standalone Usage

You can also use the library directly in your Python scripts:

from qphase_sde.engine import Engine, EngineConfig
from qphase_sde.model import SDEModel

# Define model and config
config = EngineConfig(dt=1e-3, t1=10.0)
engine = Engine(config)

# Run simulation
result = engine.run(my_model)

License

MIT License