pyQuTree Documentation

pyQuTree is a tree tensor network package for optimization, quantum chemistry, and scientific computing.

Quick Example

from qutree import optimize_function

def rosenbrock(x, y):
    return (1 - x)**2 + 100*(y - x**2)**2

bounds = {'x': (-2, 2), 'y': (-1, 3)}
result = optimize_function(rosenbrock, bounds)

Features

High-Level Interface:

  • Easy-to-use optimize_function for arbitrary Python functions

  • Support for named parameters, dicts, or arrays

  • Per-parameter grid resolutions for efficiency

  • Warm-start optimization with initial guesses

  • Automatic method selection based on dimensionality

Low-Level Tensor Network Methods:

  • Tensor Train (TT) networks

  • Balanced tree tensor networks

  • Tree tensor network optimization (TTNOpt)

  • Cross approximation methods

  • Simultaneous diagonalization

Contents:

Indices and tables