A Spectral Identifiability Threshold for Dissipative Rate Recovery from Truncated Liouvillian Spectra

• URL: http://arxiv.org/abs/2608.29302v1
• Date: Sat, 29 Aug 2026 14:40:43 GMT
• Title: A Spectral Identifiability Threshold for Dissipative Rate Recovery from Truncated Liouvillian Spectra
• Abstract summary: Open quantum systems lose energy and phase coherence through different dissipative processes.<n>The Liouvillian spectrum summarizes how such a system relaxes, yet it is not obvious how much of that spectrum is needed to distinguish the underlying dissipation rates.<n>We study this question for amplitude damping and dephasing in a six-qubit Lindblad model whose spectrum can be derived analytically.
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• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Open quantum systems lose energy and phase coherence through different dissipative processes, but these processes can produce overlapping dynamical signatures. The Liouvillian spectrum summarizes how such a system relaxes, yet it is not obvious how much of that spectrum is needed to distinguish the underlying dissipation rates. We study this question for amplitude damping and dephasing in a six-qubit Lindblad model whose spectrum can be derived analytically. We retain only the slowest non-steady spectral modes and ask how many are required before each dissipative rate becomes recoverable. We show that population modes contain no dephasing information, which creates a lower bound of D = 2^n retained modes for uniform dephasing identifiability in the relevant rate regime. The measured recovery threshold reaches this bound at n = 4,5,6, while n = 3 remains above it. At n = 6, least squares achieves a mean joint absolute error of order 10^-9, compared with 4.355 x 10^-4 for four tabular learning methods. Robustness tests show that this advantage weakens when the spectra are perturbed and when a transverse field breaks the commuting structure. These results show that the amount and structure of retained spectral information can determine whether dissipative parameters are recoverable, independently of the estimator used. The present conclusions apply to noise-free simulator spectra rather than measurement-derived spectra.

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