Introduction

Feature

yaf2q is a Python library for performing fermion-to-qubit mapping used in quantum chemical calculations. It provides the following two functions.

Performing fermion-to-qubit mapping
- It supports well-known fermion-qubit mapping methods such as the Jordan-Wigner, Parity, and Bravyi-Kitaev transformations, as well as a more generalized approach using ternary trees.
Optimization of fermion-to-qubit mapping
- It is possible to search for a ternary tree structure that minimizes a chosen index, such as the Pauli weight in the mapped Hamiltonian, or the depth of the quantum circuit required to execute a quantum algorithm like Quantum Phase Estimation (QPE), when converting a fermionic operator to a qubit operator.

$ git clone https://github.com/samn33/yaf2q.git
$ cd yaf2q
$ make install

$ make uninstall

$ make test

Papers about fermion-to-qubit mapping using ternary tree.

Haytham McDowall-Rose, Razin A. Shaikh, Lia Yeh, “From fermions to Qubits: A ZX-Calculus Perspective”, arXiv:2505.06212

MIT