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Stabilizer R\'enyi Entropy for Translation-Invariant Matrix Product States

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arxiv 2508.03534 v2 pith:T2DBKEV7 submitted 2025-08-05 quant-ph

Stabilizer R\'enyi Entropy for Translation-Invariant Matrix Product States

classification quant-ph
keywords densityentropymagicquantumstabilizerstatesentanglementenyi
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Magic, capturing the deviation of a quantum state from the stabilizer formalism, is a key resource underpinning the quantum advantage. The recently introduced stabilizer R\'enyi entropy (SRE) offers a tractable measure of magic, avoiding the complexity of conventional methods. We study SRE in translation-invariant matrix product states (MPS), deriving exact expressions for representative states and introducing a numerically stable algorithm, named bond-DMRG, to compute the SRE density in infinite systems. Applying this method, we obtain high-precision SRE densities for the ground state of the one-dimensional Ising model. We also analyze non-local SRE density, showing it is bounded by a universal function of entanglement entropy, and further prove that two-site mutual SRE vanishes asymptotically in injective MPS. Our work not only introduces a powerful method for extracting the SRE density in quantum many-body systems, but also numerically reveals a fundamental connection between magic and entanglement, thereby paving the way for deeper theoretical investigations into their interplay.

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Cited by 2 Pith papers

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

  1. Stabilizer R\'enyi entropy of 3-uniform hypergraph states

    quant-ph 2026-02 unverdicted novelty 7.0

    Stabilizer Rényi entropy of 3-uniform hypergraph states equals a matrix-rank expression, cutting computation from exponential in 3N to polynomial in N times exponential in N.

  2. Computing quantum magic of state vectors

    quant-ph 2026-01 accept novelty 7.0

    Efficient algorithms compute stabilizer Rényi entropy and mana for quantum states from vectors at O(N d^{2N}) cost using fast Hadamard transform, with open-source implementation.