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arXiv:2610.08299 · v3

Pauli Decomposition by Character Theory: A Memory-Bounded Algorithm for Qubits and Qudits

首次提交 2026-10-06 21:03
版本更新 2026-11-07 20:54
雷达观测 2026-11-10 11:14
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摘要

Pauli decomposition of an nn-qubit operator is expensive if each of the 4n4^n Pauli strings is treated as an unstructured object. Labeling those strings by the configuration space (Z2)n(\mathbb{Z}_2)^n makes them displacement operators X⊗xZ⊗zX^{\otimes x}Z^{\otimes z} on the computational space: shifts by~xx and multiplications by characters Z⊗zZ^{\otimes z} in the computational basis. That labeling organizes the operator into 2n2^n fibers of length 2n2^n, one per shift~xx, each collecting the computational-basis amplitudes that hop by~xx. Expanding each fiber function in the character basis of (Z2)n(\mathbb{Z}_2)^n --- a length-2n2^n Walsh--Hadamard transform --- recovers the Pauli coefficients at total cost O(n⋅4n)O(n\cdot4^n). The same fiber / shift--character picture extends to (Zp)n(\mathbb{Z}_p)^n (Heisenberg--Weyl qudits). \texttt{paulikit} is a memory-bounded realization for qubits: for matrix-sparse inputs, peak memory need not densify to a full 2n×2n2^n\times2^n operator. Performance is checked on a stated low-end GNU/Linux platform for a coupled-oscillator sweep beyond a billion Pauli terms.

作者备注:23 pages, 4 figures. Corrected oscillator Hamiltonian (paulikit 0.1.4); remesured tables. Zenodo 10.5281/zenodo.23972284 (software), 10.5281/zenodo.24030142 (measurements)

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v3 · 2026-11-07 20:54 · 最新观测版本

Pauli Decomposition by Character Theory: A Memory-Bounded Algorithm for Qubits and Qudits

Pauli decomposition of an nn-qubit operator is expensive if each of the 4n4^n Pauli strings is treated as an unstructured object. Labeling those strings by the configuration space (Z2)n(\mathbb{Z}_2)^n makes them displacement operators X⊗xZ⊗zX^{\otimes x}Z^{\otimes z} on the computational space: shifts by~xx and multiplications by characters Z⊗zZ^{\otimes z} in the computational basis. That labeling organizes the operator into 2n2^n fibers of length 2n2^n, one per shift~xx, each collecting the computational-basis amplitudes that hop by~xx. Expanding each fiber function in the character basis of (Z2)n(\mathbb{Z}_2)^n --- a length-2n2^n Walsh--Hadamard transform --- recovers the Pauli coefficients at total cost O(n⋅4n)O(n\cdot4^n). The same fiber / shift--character picture extends to (Zp)n(\mathbb{Z}_p)^n (Heisenberg--Weyl qudits). \texttt{paulikit} is a memory-bounded realization for qubits: for matrix-sparse inputs, peak memory need not densify to a full 2n×2n2^n\times2^n operator. Performance is checked on a stated low-end GNU/Linux platform for a coupled-oscillator sweep beyond a billion Pauli terms.

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