H2ZIXY: Pauli spin matrix decomposition of real symmetric matrices
Rocco Monteiro Nunes Pesce, Paul D. Stevenson

TL;DR
This paper introduces a Python code that decomposes real symmetric matrices into tensor products of Pauli spin matrices, facilitating quantum computing applications in nuclear physics.
Contribution
The paper presents a novel Python implementation for decomposing real symmetric matrices into Pauli matrices, aiding quantum simulation of physical systems.
Findings
Effective decomposition of matrices for quantum simulation
Application to nuclear physics Hamiltonians
Python tool for quantum matrix analysis
Abstract
We present a code in Python3 which takes a square real symmetric matrix, of arbitrary size, and decomposes it as a tensor product of Pauli spin matrices. The application to the decomposition of a Hamiltonian of relevance to nuclear physics for implementation on quantum computer is given.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Matrix Theory and Algorithms · Quantum Information and Cryptography
