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Second Quantization

Second Quantization is an open-source Python package that simplifies working with fermionic many-body Hamiltonians. It provides an intuitive symbolic interface (built on SymPy's FermionOp) for writing second-quantized operator expressions and robust utilities to convert these expressions into numerical matrix representations suitable for dense and sparse linear-algebra workflows.

Second Quantization is part of a set of complementary numerical libraries for quantum many-body physics such as:

  • qrate for transport calculations,

  • pmm-tools for simulation of one dimensional fermionic chains.

Key features

  • Simple symbolic construction: write Hamiltonians using familiar fermionic creation/annihilation operators and symbolic parameters.
  • Bidirectional workflow: convert from symbolic operators to matrices (to_matrix) and recover symbolic operator decompositions from matrices (to_operators).
  • Performance-oriented: supports sparse and dense formats, caching of basis operators, and integrates with numerical backends for efficient evaluation of large systems.

Design principles

  1. Clarity: expressive symbolic syntax closely matches pen-and-paper notation.
  2. Reproducibility: parameterized, callable Hamiltonians enable reproducible sweeps and analyses.
  3. Extensibility: built to integrate with existing numerical tools (OpenFermion, QuSpin) and to be extended with bosonic degrees of freedom for hybrid systems.