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H2ZIXY: Pauli spin matrix decomposition of real symmetric matrices

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arxiv 2111.00627 v1 pith:LGMJB4ME submitted 2021-10-31 physics.comp-ph nucl-thquant-ph

classification physics.comp-phnucl-thquant-ph
keywords decompositionmatricesmatrixpaulirealspinsymmetricapplication
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. An Implementation of the Finite Element Method in Hybrid Classical/Quantum Computers

    quant-ph 2024-11 conditional novelty 6.0 of 10

    A variational quantum linear solver is coupled to finite element discretizations by an element-wise unitary decomposition, verified on 1D heat problems up to 7 qubits but with strong scaling barriers.

  2. Quantum Optimization for Optimal Power Flow: CVQLS-Augmented Interior Point Method

    quant-ph 2024-12 conditional novelty 4.0 of 10

    The paper proposes and tests a CVQLS-augmented interior point method for optimal power flow, with heuristic convergence improvements, reporting reliable solutions on small systems and an unsupported proxy for larger ones.

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