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arxiv 2303.01029 v2 pith:5AATW334 submitted 2023-03-02 quant-ph cs.NAmath.NA

Linear combination of Hamiltonian simulation for nonunitary dynamics with optimal state preparation cost

classification quant-ph cs.NAmath.NA
keywords dynamicslchslinearmethodquantumsimulationcombinationcost
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We propose a simple method for simulating a general class of non-unitary dynamics as a linear combination of Hamiltonian simulation (LCHS) problems. LCHS does not rely on converting the problem into a dilated linear system problem, or on the spectral mapping theorem. The latter is the mathematical foundation of many quantum algorithms for solving a wide variety of tasks involving non-unitary processes, such as the quantum singular value transformation (QSVT). The LCHS method can achieve optimal cost in terms of state preparation. We also demonstrate an application for open quantum dynamics simulation using the complex absorbing potential method with near-optimal dependence on all parameters.

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Cited by 2 Pith papers

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  2. Fixing Divergence in Carleman Linearization via Analytical Continuation

    quant-ph 2026-07 conditional novelty 6.0

    A Möbius conformal map and regularized incomplete beta function fix the long-time divergence of Carleman linearization for logistic, KPP-Fisher, and phase-field equations.