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Pauli Decomposition via the Fast Walsh-Hadamard Transform

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arxiv 2408.06206 v4 pith:6WPCWTF7 submitted 2024-08-12 quant-ph physics.comp-ph

Pauli Decomposition via the Fast Walsh-Hadamard Transform

classification quant-ph physics.comp-ph
keywords decompositionmatrixpaulicoefficientsfastmathcaltransformwalsh-hadamard
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The decomposition of a square matrix into a sum of Pauli strings is a classical pre-processing step required to realize many quantum algorithms. Such a decomposition requires significant computational resources for large matrices. We present an exact and explicit formula for the Pauli string coefficients which inspires an efficient algorithm to compute them. More specifically, we show that up to a permutation of the matrix elements, the decomposition coefficients are related to the original matrix by a multiplication of a generalised Hadamard matrix. This allows one to use the Fast Walsh-Hadamard transform and calculate all Pauli decomposition coefficients in $\mathcal{O}(N^2\log N)$ time and using $\mathcal{O}(1)$ additional memory, for an $N\times N$ matrix. A numerical implementation of our equation outperforms currently available solutions.

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  1. Efficient Pauli-decomposition and multistage state-refinement for tensor network based differential equation solver

    quant-ph 2026-07 conditional novelty 6.5

    Analytical Pauli-string coefficients plus multistage state refinement let tensor networks find low eigenstates of million-dimensional Laplacians with high fidelity on 20 qubits.